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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 8 new columns ({'community_score', 'maturity_score', 'quality_tier', 'quality_score', 'maintenance_score', 'adoption_score', 'reverse_dep_count', 'risk_flags'}) and 1 missing columns ({'topics'}).
This happened while the json dataset builder was generating data using
hf://datasets/grahamrowe82/mcp-quality-index/data/mcp-scores.json (at revision ab7fac0a03ed51ad9f83eabf32a6888f136a80d4), [/tmp/hf-datasets-cache/medium/datasets/71868184101493-config-parquet-and-info-grahamrowe82-mcp-quality--f386eb26/hub/datasets--grahamrowe82--mcp-quality-index/snapshots/ab7fac0a03ed51ad9f83eabf32a6888f136a80d4/data/mcp-repos.json (origin=hf://datasets/grahamrowe82/mcp-quality-index@ab7fac0a03ed51ad9f83eabf32a6888f136a80d4/data/mcp-repos.json), /tmp/hf-datasets-cache/medium/datasets/71868184101493-config-parquet-and-info-grahamrowe82-mcp-quality--f386eb26/hub/datasets--grahamrowe82--mcp-quality-index/snapshots/ab7fac0a03ed51ad9f83eabf32a6888f136a80d4/data/mcp-scores.json (origin=hf://datasets/grahamrowe82/mcp-quality-index@ab7fac0a03ed51ad9f83eabf32a6888f136a80d4/data/mcp-scores.json), /tmp/hf-datasets-cache/medium/datasets/71868184101493-config-parquet-and-info-grahamrowe82-mcp-quality--f386eb26/hub/datasets--grahamrowe82--mcp-quality-index/snapshots/ab7fac0a03ed51ad9f83eabf32a6888f136a80d4/data/metadata.json (origin=hf://datasets/grahamrowe82/mcp-quality-index@ab7fac0a03ed51ad9f83eabf32a6888f136a80d4/data/metadata.json), /tmp/hf-datasets-cache/medium/datasets/71868184101493-config-parquet-and-info-grahamrowe82-mcp-quality--f386eb26/hub/datasets--grahamrowe82--mcp-quality-index/snapshots/ab7fac0a03ed51ad9f83eabf32a6888f136a80d4/data/projects.json (origin=hf://datasets/grahamrowe82/mcp-quality-index@ab7fac0a03ed51ad9f83eabf32a6888f136a80d4/data/projects.json)]
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
full_name: string
name: string
description: string
stars: int64
forks: int64
language: string
license: string
archived: bool
subcategory: string
last_pushed_at: timestamp[s]
pypi_package: string
npm_package: string
downloads_monthly: int64
dependency_count: int64
commits_30d: int64
reverse_dep_count: int64
maintenance_score: int64
adoption_score: int64
maturity_score: int64
community_score: int64
quality_score: int64
quality_tier: string
risk_flags: list<item: string>
child 0, item: string
to
{'full_name': Value('string'), 'name': Value('string'), 'description': Value('string'), 'stars': Value('int64'), 'forks': Value('int64'), 'language': Value('string'), 'topics': List(Value('string')), 'license': Value('string'), 'last_pushed_at': Value('timestamp[s]'), 'archived': Value('bool'), 'subcategory': Value('string'), 'downloads_monthly': Value('int64'), 'dependency_count': Value('int64'), 'pypi_package': Value('string'), 'npm_package': Value('string'), 'commits_30d': Value('int64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1892, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 8 new columns ({'community_score', 'maturity_score', 'quality_tier', 'quality_score', 'maintenance_score', 'adoption_score', 'reverse_dep_count', 'risk_flags'}) and 1 missing columns ({'topics'}).
This happened while the json dataset builder was generating data using
hf://datasets/grahamrowe82/mcp-quality-index/data/mcp-scores.json (at revision ab7fac0a03ed51ad9f83eabf32a6888f136a80d4), [/tmp/hf-datasets-cache/medium/datasets/71868184101493-config-parquet-and-info-grahamrowe82-mcp-quality--f386eb26/hub/datasets--grahamrowe82--mcp-quality-index/snapshots/ab7fac0a03ed51ad9f83eabf32a6888f136a80d4/data/mcp-repos.json (origin=hf://datasets/grahamrowe82/mcp-quality-index@ab7fac0a03ed51ad9f83eabf32a6888f136a80d4/data/mcp-repos.json), /tmp/hf-datasets-cache/medium/datasets/71868184101493-config-parquet-and-info-grahamrowe82-mcp-quality--f386eb26/hub/datasets--grahamrowe82--mcp-quality-index/snapshots/ab7fac0a03ed51ad9f83eabf32a6888f136a80d4/data/mcp-scores.json (origin=hf://datasets/grahamrowe82/mcp-quality-index@ab7fac0a03ed51ad9f83eabf32a6888f136a80d4/data/mcp-scores.json), /tmp/hf-datasets-cache/medium/datasets/71868184101493-config-parquet-and-info-grahamrowe82-mcp-quality--f386eb26/hub/datasets--grahamrowe82--mcp-quality-index/snapshots/ab7fac0a03ed51ad9f83eabf32a6888f136a80d4/data/metadata.json (origin=hf://datasets/grahamrowe82/mcp-quality-index@ab7fac0a03ed51ad9f83eabf32a6888f136a80d4/data/metadata.json), /tmp/hf-datasets-cache/medium/datasets/71868184101493-config-parquet-and-info-grahamrowe82-mcp-quality--f386eb26/hub/datasets--grahamrowe82--mcp-quality-index/snapshots/ab7fac0a03ed51ad9f83eabf32a6888f136a80d4/data/projects.json (origin=hf://datasets/grahamrowe82/mcp-quality-index@ab7fac0a03ed51ad9f83eabf32a6888f136a80d4/data/projects.json)]
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
full_name string | name string | description string | stars int64 | forks int64 | language string | topics list | license string | last_pushed_at timestamp[us] | archived bool | subcategory string | downloads_monthly int64 | dependency_count int64 | pypi_package string | npm_package string | commits_30d int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
upstash/context7 | context7 | Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors | 48,582 | 2,296 | TypeScript | [
"llm",
"mcp",
"mcp-server",
"vibe-coding"
] | MIT | 2026-03-11T14:15:39 | false | application-software-integration | 0 | 0 | null | null | 70 |
ChromeDevTools/chrome-devtools-mcp | chrome-devtools-mcp | Chrome DevTools for coding agents | 28,511 | 1,674 | TypeScript | [
"browser",
"chrome",
"chrome-devtools",
"debugging",
"devtools",
"mcp",
"mcp-server",
"puppeteer"
] | Apache-2.0 | 2026-03-11T13:41:33 | false | browser-automation-mcp | 2,689,135 | 0 | null | chrome-devtools-mcp | 114 |
github/github-mcp-server | github-mcp-server | GitHub's official MCP Server | 27,776 | 3,728 | Go | [
"github",
"mcp",
"mcp-server"
] | MIT | 2026-03-10T08:15:20 | false | github-repository-management | 0 | 0 | null | null | 23 |
PrefectHQ/fastmcp | fastmcp | 🚀 The fast, Pythonic way to build MCP servers and clients. | 23,593 | 1,813 | Python | [
"agents",
"fastmcp",
"llms",
"mcp",
"mcp-clients",
"mcp-servers",
"mcp-tools",
"model-context-protocol",
"python"
] | Apache-2.0 | 2026-03-10T00:30:08 | false | mcp-demo-examples | 78,413,808 | 21 | fastmcp | null | 195 |
oraios/serena | serena | A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & other integrations) | 21,348 | 1,445 | Python | [
"agent",
"ai",
"ai-coding",
"claude",
"claude-code",
"language-server",
"llms",
"mcp-server",
"programming",
"vibe-coding"
] | MIT | 2026-03-10T23:40:05 | false | vibe-coding-framework | 0 | 0 | null | null | 162 |
activepieces/activepieces | activepieces | AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents | 21,174 | 3,401 | TypeScript | [
"ai-agent",
"ai-agent-tools",
"ai-agents",
"ai-agents-framework",
"mcp",
"mcp-server",
"mcp-tools",
"mcps",
"n8n-alternative",
"no-code-automation",
"workflow",
"workflow-automation",
"workflows"
] | NOASSERTION | 2026-03-11T18:47:42 | false | agentic-ai-frameworks | 0 | 0 | null | null | 372 |
microsoft/mcp-for-beginners | mcp-for-beginners | This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration. | 15,320 | 4,986 | Jupyter Notebook | [
"csharp",
"java",
"javascript",
"javascript-applications",
"mcp",
"mcp-client",
"mcp-security",
"mcp-server",
"model",
"model-context-protocol",
"modelcontextprotocol",
"python",
"rust",
"typescript"
] | MIT | 2026-03-11T02:13:31 | false | mcp-learning-courses | 0 | 0 | null | null | 234 |
czlonkowski/n8n-mcp | n8n-mcp | A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you | 14,908 | 2,614 | TypeScript | [
"mcp",
"mcp-server",
"n8n",
"workflows"
] | MIT | 2026-03-08T07:45:30 | false | n8n-workflow-automation | 257,296 | 10 | null | n8n-mcp | 36 |
googleapis/genai-toolbox | genai-toolbox | MCP Toolbox for Databases is an open source MCP server for databases. | 13,403 | 1,269 | Go | [
"agent",
"agents",
"ai",
"bigquery",
"clickhouse",
"cockroachdb",
"database",
"elasticsearch",
"firestore",
"genai",
"llm",
"mcp",
"mongodb",
"mysql",
"oracle",
"postgresql",
"redis",
"server",
"spanner",
"tidb"
] | Apache-2.0 | 2026-03-13T07:29:04 | false | model-context-protocol | 0 | 0 | null | null | 160 |
tadata-org/fastapi_mcp | fastapi_mcp | Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth! | 11,644 | 921 | Python | [
"ai",
"authentication",
"authorization",
"claude",
"cursor",
"fastapi",
"llm",
"mcp",
"mcp-server",
"mcp-servers",
"modelcontextprotocol",
"openapi",
"windsurf"
] | MIT | 2025-11-24T14:51:54 | false | mcp-demo-examples | 38,612,003 | 10 | fastapi_mcp | null | null |
xpzouying/xiaohongshu-mcp | xiaohongshu-mcp | MCP for xiaohongshu.com | 11,327 | 1,691 | Go | [
"mcp",
"mcp-server",
"xiaohongshu-mcp"
] | null | 2026-03-09T17:00:22 | false | news-aggregation-mcp | 0 | 0 | null | null | 28 |
yusufkaraaslan/Skill_Seekers | Skill_Seekers | Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection | 10,678 | 1,056 | Python | [
"ai-tools",
"ast-parser",
"automation",
"claude-ai",
"claude-skills",
"code-analysis",
"conflict-detection",
"documentation",
"documentation-generator",
"github",
"github-scraper",
"mcp",
"mcp-server",
"multi-source",
"ocr",
"pdf",
"python",
"web-scraping"
] | MIT | 2026-03-02T18:14:49 | false | vibe-coding-framework | 47,275 | 21 | skill_seekers | null | 49 |
mcp-use/mcp-use | mcp-use | The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents. | 9,422 | 1,156 | TypeScript | [
"agentic-framework",
"ai",
"apps-sdk",
"chatgpt",
"claude-code",
"llms",
"mcp",
"mcp-apps",
"mcp-client",
"mcp-gateway",
"mcp-host",
"mcp-inspector",
"mcp-server",
"mcp-servers",
"mcp-tools",
"mcp-ui",
"model-context-protocol",
"modelcontextprotocol",
"openclaw",
"skills"
] | MIT | 2026-03-11T11:52:16 | false | agent-orchestration-frameworks | 87,456 | 14 | null | mcp-use | 46 |
xinnan-tech/xiaozhi-esp32-server | xiaozhi-esp32-server | 本项目为xiaozhi-esp32提供后端服务，帮助您快速搭建ESP32设备控制服务器。Backend service for xiaozhi-esp32, helps you quickly build an ESP32 device control server. | 8,848 | 3,010 | JavaScript | [
"dify",
"esp32",
"mcp-server",
"xiaozhi",
"xiaozhi-ai",
"xiaozhi-esp32",
"xiaozhi-server"
] | MIT | 2026-03-11T06:59:24 | false | home-assistant-mcp | 0 | 0 | null | null | 119 |
awslabs/mcp | mcp | Official MCP Servers for AWS | 8,420 | 1,346 | Python | [
"aws",
"mcp",
"mcp-client",
"mcp-clients",
"mcp-host",
"mcp-server",
"mcp-servers",
"mcp-tools",
"modelcontextprotocol"
] | Apache-2.0 | 2026-03-11T19:07:01 | false | aws-cloud-services | 0 | 0 | null | null | 108 |
lastmile-ai/mcp-agent | mcp-agent | Build effective agents using Model Context Protocol and simple workflow patterns | 8,092 | 809 | Python | [
"agents",
"ai",
"ai-agents",
"llm",
"llms",
"mcp",
"model-context-protocol",
"python"
] | Apache-2.0 | 2026-01-25T16:35:16 | false | agentic-ai-frameworks | 0 | 0 | null | null | 0 |
idosal/git-mcp | git-mcp | Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project | 7,755 | 683 | TypeScript | [
"agentic-ai",
"agents",
"ai",
"claude",
"copilot",
"cursor",
"git",
"llm",
"mcp"
] | Apache-2.0 | 2026-03-13T01:21:48 | false | model-context-protocol | 0 | 0 | null | null | 2 |
0x4m4/hexstrike-ai | hexstrike-ai | HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities. | 7,377 | 1,620 | Python | [
"0x4m4",
"ai",
"ai-agents",
"ai-cybersecurity",
"ai-hacking",
"ai-penetration-testing",
"ai-security-tool",
"artificial-intelligence",
"ctf-tools",
"generative-ai",
"hexstrike",
"kali-linux",
"kali-tools",
"llm",
"llm-integration",
"mcp",
"mcp-server",
"mcp-tools",
"pentesting",
... | MIT | 2026-03-06T22:35:52 | false | security-testing-mcp | 0 | 0 | null | null | 1 |
AgentDeskAI/browser-tools-mcp | browser-tools-mcp | Monitor browser logs directly from Cursor and other MCP compatible IDEs. | 7,117 | 524 | JavaScript | [
"ai",
"anthropic",
"cursor",
"mcp",
"mcp-server"
] | MIT | 2025-03-26T12:40:14 | false | browser-automation-mcp | 0 | 0 | null | null | null |
CoplayDev/unity-mcp | unity-mcp | Unity MCP acts as a bridge, allowing AI assistants (like Claude, Cursor) to interact directly with your Unity Editor via a local MCP (Model Context Protocol) Client. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity. | 6,920 | 831 | C# | [
"ai",
"ai-integration",
"anthropic",
"claude",
"copilot",
"cursor",
"game-development",
"gamedev",
"gemini",
"llm",
"mcp",
"model-context-protocol",
"openai",
"unity",
"unity3d",
"videogames"
] | MIT | 2026-03-11T18:57:52 | false | unity-mcp-servers | 0 | 0 | null | null | 302 |
grab/cursor-talk-to-figma-mcp | cursor-talk-to-figma-mcp | TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically. | 6,457 | 696 | JavaScript | [
"agent",
"agentic",
"agentic-ai",
"ai",
"ai-agents",
"automation",
"cursor",
"design",
"figma",
"generative-ai",
"llm",
"llms",
"mcp",
"model-context-protocol"
] | MIT | 2026-03-07T06:29:17 | false | figma-design-integration | 0 | 0 | null | null | 2 |
yzfly/Awesome-MCP-ZH | Awesome-MCP-ZH | MCP 资源精选， MCP指南，Claude MCP，MCP Servers, MCP Clients | 6,453 | 434 | null | [
"claude",
"claude-mcp",
"deepseek",
"deepseek-mcp",
"mcp",
"mcp-clients",
"mcp-host",
"mcp-server",
"mcp-servers",
"mcp-servers-directory",
"mcp-tools",
"qwen-mcp"
] | MIT | 2026-03-09T10:02:20 | false | mcp-registry-aggregators | 0 | 0 | null | null | 37 |
mrexodia/ida-pro-mcp | ida-pro-mcp | AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP. | 6,275 | 713 | Python | [
"ai",
"aiagent",
"binary-analysis",
"ida-plugin",
"ida-pro",
"mcp",
"mcp-server",
"modelcontextprotocol",
"reverse-engineering"
] | MIT | 2026-03-07T00:26:40 | false | binary-analysis-mcp | 1,949 | 1 | ida-pro-mcp | null | 71 |
BrowserMCP/mcp | mcp | Browser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser | 6,024 | 464 | TypeScript | [
"browser-automation",
"browser-extension",
"claude",
"cursor",
"mcp",
"mcp-server"
] | Apache-2.0 | 2025-04-24T21:49:44 | false | browser-automation-mcp | 0 | 0 | null | null | null |
wonderwhy-er/DesktopCommanderMCP | DesktopCommanderMCP | This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities | 5,760 | 671 | TypeScript | [
"agent",
"ai",
"code-analysis",
"code-generation",
"mcp",
"terminal-ai",
"terminal-automation",
"vibe-coding"
] | MIT | 2026-03-03T20:03:47 | false | terminal-access-mcp | 75,575 | 24 | null | @wonderwhy-er/desktop-commander | 6 |
firecrawl/firecrawl-mcp-server | firecrawl-mcp-server | 🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients. | 5,738 | 641 | JavaScript | [
"batch-processing",
"claude",
"content-extraction",
"data-collection",
"firecrawl",
"firecrawl-ai",
"javascript-rendering",
"llm-tools",
"mcp",
"mcp-server",
"model-context-protocol",
"search-api",
"web-crawler",
"web-scraping"
] | MIT | 2026-03-03T20:22:48 | false | web-scraping-mcp | 0 | 0 | null | null | 13 |
Klavis-AI/klavis | klavis | Klavis AI (YC X25): MCP integration platforms that let AI agents use tools reliably at any scale | 5,660 | 538 | Python | [
"agents",
"ai",
"ai-agents",
"api",
"developer-tools",
"discord",
"function-calling",
"integration",
"llm",
"mcp",
"mcp-client",
"mcp-server",
"oauth2",
"open-source"
] | Apache-2.0 | 2026-03-11T11:55:57 | false | agentic-ai-frameworks | 0 | 0 | null | null | 54 |
zilliztech/claude-context | claude-context | Code search MCP for Claude Code. Make entire codebase the context for any coding agent. | 5,625 | 502 | TypeScript | [
"agent",
"agentic-rag",
"ai-coding",
"claude-code",
"code-generation",
"code-search",
"cursor",
"embedding",
"gemini-cli",
"mcp",
"merkle-tree",
"nodejs",
"openai",
"rag",
"semantic-search",
"typescript",
"vector-database",
"vibe-coding",
"voyage-ai",
"vscode-extension"
] | MIT | 2026-03-12T12:34:31 | false | claude-code-knowledge-systems | 0 | 0 | null | null | 8 |
appcypher/awesome-mcp-servers | awesome-mcp-servers | Awesome MCP Servers - A curated list of Model Context Protocol servers | 5,232 | 745 | null | [
"ai",
"anthropic-claude",
"awesome",
"context",
"mcp",
"model-context-protocol",
"servers",
"tool-use",
"tools"
] | null | 2025-09-04T20:04:17 | false | mcp-registry-aggregators | 0 | 0 | null | null | null |
mksglu/context-mode | context-mode | Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context. | 5,190 | 317 | JavaScript | [
"antigravity",
"claude",
"claude-code",
"claude-code-plugins",
"codex",
"copilot",
"kiro",
"mcp",
"openclaw",
"opencode",
"skills"
] | NOASSERTION | 2026-03-17T22:36:22 | false | mcp-server-integrations | 41,329 | 8 | null | context-mode | 482 |
nanbingxyz/5ire | 5ire | 5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers . | 5,083 | 395 | TypeScript | [
"knowledge-base",
"llms",
"mcp",
"mcp-client",
"model-context-protocol"
] | NOASSERTION | 2026-01-23T02:07:34 | false | agent-orchestration-frameworks | 0 | 0 | null | null | 6 |
FunnyWolf/Viper | Viper | Adversary simulation and Red teaming platform with AI | 4,988 | 668 | null | [
"agent",
"ai",
"cobalt-strike",
"llm",
"mcp-server",
"metasploit-framework",
"post-exploitation",
"red-team-tools",
"redteam",
"viper"
] | null | 2026-01-18T08:49:12 | false | security-testing-mcp | 0 | 0 | null | null | 3 |
getsentry/XcodeBuildMCP | XcodeBuildMCP | A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects. | 4,681 | 222 | TypeScript | [
"mcp",
"mcp-server",
"model-context-protocol",
"model-context-protocol-servers",
"tag-production",
"xcode",
"xcodebuild"
] | MIT | 2026-03-11T02:15:27 | false | macos-desktop-automation | 58,873 | 10 | null | xcodebuildmcp | 70 |
21st-dev/magic-mcp | magic-mcp | It's like v0 but in your Cursor/WindSurf/Cline. 21st dev Magic MCP server for working with your frontend like Magic | 4,542 | 312 | TypeScript | null | null | 2026-02-17T04:50:55 | false | custom-platform-servers | 30,583 | 6 | null | @21st-dev/magic | 0 |
MCP-UI-Org/mcp-ui | mcp-ui | UI over MCP. Create next-gen UI experiences with the protocol and SDK! | 4,525 | 333 | TypeScript | [
"ai",
"frontend",
"llm",
"mcp",
"ui",
"web"
] | Apache-2.0 | 2026-03-12T00:52:38 | false | model-context-protocol | 0 | 0 | null | null | 5 |
casibase/casibase | casibase | ⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports ChatGPT, Claude, Llama, Ollama, HuggingFace, etc., chat bot demo: https://ai.casibase.com, admin UI demo: https://ai-admin.casibase.com | 4,461 | 526 | Go | [
"a2a",
"agent",
"agi",
"casibase",
"chatbot",
"chatgpt",
"claude",
"gemini",
"gpt",
"huggingface",
"knowledge-base",
"langchain",
"llama",
"llm",
"manus",
"mcp",
"model-context-protocol",
"multi-agent",
"openai",
"rag"
] | Apache-2.0 | 2026-02-20T11:42:56 | false | agent-orchestration-frameworks | 0 | 0 | null | null | 20 |
httprunner/httprunner | httprunner | HttpRunner 是一款开源的 API/UI 测试框架，简单易用，功能强大，具有丰富的插件化机制和高度的可扩展能力。 | 4,265 | 1,286 | Go | [
"adb",
"agent-tars",
"mcp-server",
"mcphost",
"testing",
"ui-tars",
"ui-testing",
"uiautomator2",
"wda",
"webdriveragent"
] | Apache-2.0 | 2025-12-11T16:50:50 | false | browser-automation-mcp | 0 | 0 | null | null | null |
wgpsec/ENScan_GO | ENScan_GO | 一款基于各大企业信息API的工具，解决在遇到的各种针对国内企业信息收集难题。一键收集控股公司ICP备案、APP、小程序、微信公众号等信息聚合导出。支持MCP接入 | 4,242 | 401 | Go | [
"app",
"cyber-security",
"cybersecurity",
"icp",
"mcp",
"mcp-server",
"red-team",
"redteam",
"redteam-tools"
] | Apache-2.0 | 2026-01-05T09:07:09 | false | security-testing-mcp | 0 | 0 | null | null | 4 |
open-webui/mcpo | mcpo | A simple, secure MCP-to-OpenAPI proxy server | 4,041 | 447 | Python | [
"mcp",
"mcp-server",
"mcp-to-openapi",
"open-webui",
"openapi"
] | MIT | 2026-02-27T17:58:13 | false | mcp-proxy-aggregation | 0 | 0 | null | null | 0 |
osaurus-ai/osaurus | osaurus | AI edge infrastructure for macOS. Run local or cloud models, share tools across apps via MCP, and power AI workflows with a native, always-on runtime. | 4,006 | 164 | Swift | [
"anthropic",
"apple-foundation-models",
"apple-intelligence",
"apple-neural-engine",
"llm",
"mcp",
"mcp-server",
"mlx",
"openai",
"swift"
] | MIT | 2026-03-11T12:29:38 | false | browser-automation-mcp | 0 | 0 | null | null | 456 |
exa-labs/exa-mcp-server | exa-mcp-server | Exa MCP for web search and web crawling! | 3,985 | 302 | TypeScript | [
"code-search",
"codesearch",
"crawling",
"mcp",
"mcp-server",
"model-context-protocol",
"web-search",
"websearch"
] | MIT | 2026-03-11T16:46:28 | false | web-search-mcp | 48,392 | 6 | null | exa-mcp-server | 54 |
antvis/mcp-server-chart | mcp-server-chart | 🤖 A visualization mcp & skills contains 25+ visual charts using @antvis. Using for chart generation and data analysis. | 3,803 | 360 | TypeScript | [
"antv",
"llm",
"mcp",
"mcp-server",
"skills",
"visualization"
] | MIT | 2026-02-25T14:04:08 | false | data-visualization-mcp | 0 | 0 | null | null | 0 |
evalstate/fast-agent | fast-agent | Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support | 3,711 | 398 | Python | [
"acp",
"agent",
"agent-framework",
"agent-skills",
"cli",
"mcp",
"mcp-client",
"mcp-server",
"python",
"skills",
"tui"
] | Apache-2.0 | 2026-03-17T19:56:02 | false | agentic-ai-frameworks | 0 | 0 | null | null | 76 |
campfirein/cipher | cipher | Byterover Cipher is an opensource memory layer specifically designed for coding agents. Compatible with Cursor, Codex, Claude Code, Windsurf, Cline, Claude Desktop, Gemini CLI, AWS's Kiro, VS Code, Roo Code, Trae, Amp Code and Warp through MCP. Built by https://byterover.dev/ | 3,578 | 360 | TypeScript | [
"agent",
"llm",
"mcp",
"memory",
"vibe-coding"
] | NOASSERTION | 2026-01-25T04:55:06 | false | claude-skill-orchestration | 0 | 0 | null | null | 337 |
archestra-ai/archestra | archestra | Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator | 3,548 | 341 | TypeScript | [
"a2a",
"a2a-mcp",
"acp",
"agent",
"ai",
"chatgpt",
"chatgpt-api",
"claude",
"deepseek",
"gemini",
"k8s",
"mcp",
"mcp-client",
"mcp-gateway",
"mcp-host",
"mcp-server",
"mcp-servers",
"mcp-tools",
"openai",
"runtime"
] | AGPL-3.0 | 2026-03-11T19:22:50 | false | agent-protocol-standards | 0 | 0 | null | null | 361 |
haris-musa/excel-mcp-server | excel-mcp-server | A Model Context Protocol server for Excel file manipulation | 3,447 | 383 | Python | [
"ai",
"automation",
"excel",
"llm",
"mcp",
"mcp-server",
"sse",
"stdio",
"streamable-http",
"toolcalling"
] | MIT | 2026-01-19T08:14:42 | false | excel-automation-mcp | 0 | 0 | null | null | 0 |
langchain-ai/langchain-mcp-adapters | langchain-mcp-adapters | LangChain 🔌 MCP | 3,411 | 379 | Python | [
"langchain",
"langgraph",
"mcp",
"python",
"tools"
] | MIT | 2026-03-12T21:38:04 | false | langchain-mcp-integration | 6,510,552 | 3 | langchain-mcp-adapters | null | 16 |
IBM/mcp-context-forge | mcp-context-forge | An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins. | 3,393 | 570 | Python | [
"agents",
"ai",
"api-gateway",
"asyncio",
"authentication-middleware",
"devops",
"docker",
"fastapi",
"federation",
"gateway",
"generative-ai",
"jwt",
"kubernetes",
"llm-agents",
"mcp",
"model-context-protocol",
"observability",
"prompt-engineering",
"python",
"tools"
] | Apache-2.0 | 2026-03-11T16:27:14 | false | mcp-gateway-infrastructure | 0 | 0 | null | null | 230 |
liaokongVFX/MCP-Chinese-Getting-Started-Guide | MCP-Chinese-Getting-Started-Guide | Model Context Protocol(MCP) 编程极速入门 | 3,369 | 207 | null | [
"ai",
"deepseek",
"mcp",
"mcp-server",
"modelcontextprotocol"
] | null | 2025-04-23T14:06:41 | false | mcp-learning-courses | 0 | 0 | null | null | null |
huangjunsen0406/py-xiaozhi | py-xiaozhi | A Python-based Xiaozhi AI for users who want the full Xiaozhi experience without owning specialized hardware. | 3,212 | 670 | Python | [
"esp32",
"esp32-s3",
"mcp",
"mcp-server",
"python",
"xiaozhi-esp32"
] | MIT | 2026-01-07T10:27:25 | false | home-assistant-mcp | 0 | 0 | null | null | 0 |
steipete/mcporter | mcporter | Call MCPs via TypeScript, masquerading as simple TypeScript API. Or package them as cli. | 3,153 | 205 | TypeScript | [
"cli",
"mcp",
"ts-api"
] | NOASSERTION | 2026-03-04T21:14:41 | false | api-integration-mcp | 645,120 | 9 | null | mcporter | 31 |
microsoft/mcp | mcp | Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration | 2,845 | 434 | C# | null | MIT | 2026-03-24T01:41:37 | false | dotnet-mcp-servers | 258,871 | 6 | null | @azure/mcp | 213 |
Jpisnice/shadcn-ui-mcp-server | shadcn-ui-mcp-server | A mcp server to allow LLMS gain context about shadcn ui component structure,usage and installation,compaitable with react,svelte 5,vue & React Native | 2,731 | 283 | TypeScript | [
"ai",
"expo",
"mcp",
"modelcontextprotocol",
"nextjs",
"npm",
"npm-package",
"npx",
"react",
"react-native",
"shadcn-ui",
"svelte",
"sveltekit",
"ts",
"typescript",
"ui",
"vue",
"vuejs",
"webdev"
] | MIT | 2026-03-17T08:17:56 | false | design-system-intelligence | 7,277 | 9 | null | @jpisnice/shadcn-ui-mcp-server | 2 |
zcaceres/markdownify-mcp | markdownify-mcp | A Model Context Protocol server for converting almost anything to Markdown | 2,444 | 202 | TypeScript | [
"ai",
"anthropic",
"anthropic-ai",
"anthropic-claude",
"markdown",
"mcp",
"model-context-protocol",
"ocr",
"tools"
] | MIT | 2026-03-09T17:55:46 | false | markdown-conversion-mcp | 0 | 0 | null | null | 36 |
sparfenyuk/mcp-proxy | mcp-proxy | A bridge between Streamable HTTP and stdio MCP transports | 2,338 | 222 | Python | [
"mcp",
"mcp-server",
"proxy",
"sse",
"streamable-http"
] | MIT | 2026-03-09T22:00:41 | false | mcp-proxy-aggregation | 226,108 | 3 | mcp-proxy | null | 6 |
srbhptl39/MCP-SuperAssistant | MCP-SuperAssistant | Brings MCP to ChatGPT, DeepSeek, Perplexity, Grok, Gemini, Google AI Studio, OpenRouter, DeepSeek, T3 Chat and more... | 2,337 | 307 | TypeScript | [
"aistudio",
"assistant",
"chatgpt",
"deepseek",
"gemini",
"google",
"grok",
"kagi",
"mcp",
"openrouter",
"perplexity",
"qwen",
"t3"
] | MIT | 2026-02-09T17:38:45 | false | model-context-protocol | 0 | 0 | null | null | 0 |
blazickjp/arxiv-mcp-server | arxiv-mcp-server | A Model Context Protocol server for searching and analyzing arXiv papers | 2,329 | 188 | Python | [
"ai",
"arxiv",
"claude-ai",
"gpt",
"mcp-server",
"papers",
"research"
] | Apache-2.0 | 2026-02-13T18:36:00 | false | academic-research-mcp | 0 | 0 | null | null | 0 |
deedy5/ddgs | ddgs | A metasearch library that aggregates results from diverse web search services | 2,292 | 224 | Python | [
"api",
"ddgs",
"mcp",
"mcp-server",
"metasearch",
"python",
"search",
"websearch"
] | MIT | 2026-03-11T07:17:39 | false | web-search-mcp | 2,091,269 | 3 | ddgs | null | 17 |
bytebase/dbhub | dbhub | Zero-dependency, token-efficient database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLite. | 2,287 | 187 | TypeScript | [
"agents",
"ai",
"anthropic",
"claude",
"claude-ai",
"codex",
"cursor",
"database",
"dify",
"llm",
"mariadb",
"mcp",
"mcp-server",
"mssql",
"mysql",
"postgres",
"postgresql",
"sql",
"sqlite",
"sqlserver"
] | MIT | 2026-03-07T13:07:40 | false | sql-database-mcp | 58,849 | 14 | null | @bytebase/dbhub | 27 |
brightdata/brightdata-mcp | brightdata-mcp | A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access. | 2,185 | 281 | JavaScript | [
"ai-agents",
"ai-integrations",
"anti-bot-detection",
"browser-automation",
"data-collection",
"data-extraction",
"llm",
"mcp",
"mcp-server",
"modelcontextprotocol",
"scraping",
"scraping-tools",
"structured-data",
"web-crawling",
"web-data",
"web-scraping"
] | MIT | 2026-03-11T06:49:30 | false | web-scraping-mcp | 0 | 0 | null | null | 21 |
metatool-ai/metamcp | metamcp | MCP Aggregator, Orchestrator, Middleware, Gateway in one docker | 2,100 | 297 | TypeScript | [
"mcp",
"mcp-gateway",
"mcp-host",
"mcp-middleware",
"mcp-server",
"mcp-servers",
"mcp-to-openapi",
"mcp-tools",
"model-context-protocol",
"model-context-protocol-server",
"model-context-protocol-servers",
"open-webui",
"openapi",
"self-hosted",
"vibe-coding"
] | MIT | 2026-02-08T03:43:11 | false | mcp-proxy-aggregation | 0 | 0 | null | null | 0 |
apioo/fusio | fusio | Self-Hosted API Management for Builders | 2,080 | 238 | PHP | [
"ai",
"ai-agents",
"api",
"api-gateway",
"api-management",
"api-manager",
"backend",
"javascript",
"mcp-server",
"microservice",
"openapi",
"php",
"rest"
] | Apache-2.0 | 2026-03-21T21:10:32 | false | openapi-mcp-generation | 0 | 0 | null | null | 3 |
jamubc/gemini-mcp-tool | gemini-mcp-tool | MCP server that enables AI assistants to interact with Google Gemini CLI, leveraging Gemini's massive token window for large file analysis and codebase understanding | 2,052 | 174 | TypeScript | [
"ai",
"claude",
"cli",
"codebase-analysis",
"file-analysis",
"gemini",
"mcp",
"model-context-protocol",
"npm",
"typescript"
] | NOASSERTION | 2025-11-25T11:48:56 | false | gemini-mcp-servers | 6,718 | 8 | null | gemini-mcp-tool | null |
AmoyLab/Unla | Unla | 🧩 MCP Gateway - A lightweight gateway service that instantly transforms existing MCP Servers and APIs into MCP servers with zero code changes. Features Docker deployment and management UI, requiring no infrastructure modifications. | 2,051 | 169 | TypeScript | [
"awesome",
"mcp",
"mcp-adapter",
"mcp-gateway",
"mcp-server",
"rest-to-mcp",
"restful-to-mcp"
] | MIT | 2026-03-11T02:26:50 | false | mcp-gateway-infrastructure | 0 | 0 | null | null | 3 |
cjo4m06/mcp-shrimp-task-manager | mcp-shrimp-task-manager | Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems. | 2,040 | 244 | JavaScript | [
"agent",
"ai",
"codeagent",
"coding-assistant",
"cursor-ai",
"cursorai",
"mcp",
"mcp-server",
"roocode",
"task-list",
"task-manager",
"tasks",
"thought-processes",
"windsurf",
"windsurf-ai"
] | MIT | 2025-08-21T08:55:59 | false | task-management-mcp | 2,085 | 7 | null | mcp-shrimp-task-manager | null |
cyberagiinc/DevDocs | DevDocs | Completely free, private, UI based Tech Documentation MCP server. Designed for coders and software developers in mind. Easily integrate into Cursor, Windsurf, Cline, Roo Code, Claude Desktop App | 2,039 | 184 | TypeScript | [
"cline",
"crawl4ai",
"cursor",
"documentation",
"llm",
"playwright",
"python3",
"scraper",
"security",
"typescript",
"windsurf"
] | Apache-2.0 | 2026-02-04T16:24:24 | false | model-context-protocol | 0 | 0 | null | null | 0 |
nbonamy/witsy | witsy | Witsy: desktop AI assistant / universal MCP client | 1,905 | 153 | TypeScript | [
"anthropic",
"deepseek",
"electron-app",
"electronjs",
"gemini",
"genai",
"googleai",
"groq",
"mcp",
"mcp-client",
"mistral",
"mistralai",
"ollama",
"ollama-gui",
"openai",
"openrouter",
"vuejs",
"vuejs3"
] | AGPL-3.0 | 2026-03-11T18:43:13 | false | ai-terminal-agents | 25 | 52 | null | witsy | 45 |
samanhappy/mcphub | mcphub | A unified hub for centrally managing and dynamically orchestrating multiple MCP servers/APIs into separate endpoints with flexible routing strategies | 1,866 | 227 | TypeScript | [
"mcp",
"mcp-gateway",
"mcp-hub",
"mcp-router",
"mcp-server"
] | Apache-2.0 | 2026-03-11T06:05:58 | false | mcp-proxy-aggregation | 0 | 0 | null | null | 30 |
mcp-router/mcp-router | mcp-router | A Unified MCP Server Management App (MCP Manager). | 1,837 | 156 | TypeScript | [
"llm",
"llmops",
"mcp",
"mcp-client",
"mcp-manager",
"mcp-router",
"mcp-server",
"mcp-servers",
"mcp-tools"
] | NOASSERTION | 2026-01-24T06:22:47 | false | custom-platform-servers | 0 | 0 | null | null | 0 |
martin-ger/esp32_nat_router | esp32_nat_router | An AI-enabled NAT Router/Firewall for the ESP32 | 1,827 | 413 | C | [
"dhcp-server",
"esp-idf",
"esp32",
"firewall",
"home-assistant-integration",
"mcp-server",
"nat",
"pcap",
"router",
"vpn",
"wireguard",
"wt32-eth01"
] | null | 2026-03-09T08:55:28 | false | home-assistant-mcp | 0 | 0 | null | null | 56 |
MCPJam/inspector | inspector | Test & Debug MCP servers, ChatGPT apps, and MCP Apps (ext-apps) | 1,798 | 199 | TypeScript | [
"chatgpt",
"mcp",
"mcp-apps",
"mcp-clients",
"mcp-tools",
"modelcontextprotocol",
"opensource"
] | NOASSERTION | 2026-03-13T07:56:18 | false | model-context-protocol | 6,882 | 74 | null | @mcpjam/inspector | 179 |
Dicklesworthstone/mcp_agent_mail | mcp_agent_mail | Asynchronous coordination layer for AI coding agents: identities, inboxes, searchable threads, and advisory file leases over FastMCP + Git + SQLite | 1,798 | 186 | Python | [
"ai-agents",
"coordination",
"fastmcp",
"mcp",
"python"
] | NOASSERTION | 2026-03-09T19:51:26 | false | mcp-server-frameworks | 0 | 0 | null | null | 25 |
54yyyu/zotero-mcp | zotero-mcp | Zotero MCP: Connects your Zotero research library with Claude and other AI assistants via the Model Context Protocol to discuss papers, get summaries, analyze citations, and more. | 1,795 | 174 | Python | [
"claude",
"mcp",
"semantic-search",
"zotero"
] | MIT | 2026-03-09T14:37:07 | false | mcp-semantic-retrieval | 0 | 0 | null | null | 75 |
taylorwilsdon/google_workspace_mcp | google_workspace_mcp | Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace / G Suite MCP Server & CLI Tool | 1,771 | 515 | Python | [
"ai",
"g-suite",
"gmail",
"google-calendar",
"google-chat",
"google-docs",
"google-drive",
"google-forms",
"google-sheets",
"google-tasks",
"google-workspace",
"gsuite",
"llm",
"llm-tools",
"mcp",
"mcp-server",
"model-context-protocol",
"model-context-protocol-server",
"model-con... | MIT | 2026-03-10T15:50:18 | false | google-workspace-mcp | 0 | 0 | null | null | 224 |
OpenAgentPlatform/Dive | Dive | Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨ | 1,749 | 163 | TypeScript | [
"ai",
"ai-agents",
"llm-interface",
"llm-ui",
"mcp-client",
"mcp-host",
"mcp-server",
"ollama",
"ollama-client",
"ollama-ui"
] | MIT | 2026-03-05T01:59:01 | false | mcp-client-configuration | 0 | 0 | null | null | 7 |
ravitemer/mcphub.nvim | mcphub.nvim | An MCP client for Neovim that seamlessly integrates MCP servers into your editing workflow with an intuitive interface for managing, testing, and using MCP servers with your favorite chat plugins. | 1,744 | 75 | Lua | [
"avante",
"chatgpt",
"chatplugin",
"claude-ai",
"codecompanion",
"llm",
"mcp",
"mcp-client",
"mcp-hub",
"mcp-server",
"mcp-servers",
"model-context-protocol",
"neovim",
"neovim-plugin",
"nvim",
"nvim-plugin"
] | MIT | 2026-01-18T10:00:29 | false | docker-container-management | 0 | 0 | null | null | 0 |
stacklok/toolhive | toolhive | ToolHive makes deploying MCP servers easy, secure and fun | 1,647 | 188 | Go | [
"ai",
"ai-security",
"aicodeassistant",
"golang",
"kubernetes",
"mcp",
"mcp-security",
"mcp-servers",
"mcp-tools",
"model-context-protocol",
"security"
] | Apache-2.0 | 2026-03-11T19:25:39 | false | mcp-proxy-aggregation | 0 | 0 | null | null | 322 |
timescale/pg-aiguide | pg-aiguide | MCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate better PostgreSQL code. | 1,602 | 79 | Python | [
"ai",
"ai-agents",
"ai-coding",
"claude-code-plugin",
"claude-code-plugins",
"claude-code-plugins-marketplace",
"claude-marketplace",
"claude-plugin",
"claude-skills",
"docs",
"documentation",
"mcp",
"mcp-server",
"postgres",
"postgresql",
"skills"
] | Apache-2.0 | 2026-02-26T19:02:27 | false | vibe-coding-framework | 0 | 0 | null | null | 9 |
chongdashu/unreal-mcp | unreal-mcp | Enable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP). | 1,546 | 235 | C++ | [
"mcp-server",
"modelcontextprotocol",
"unreal-engine-5"
] | null | 2025-04-22T02:02:27 | false | unreal-engine-mcp | 0 | 0 | null | null | null |
yctimlin/mcp_excalidraw | mcp_excalidraw | MCP server and Claude Code skill for Excalidraw — programmatic canvas toolkit to create, edit, and export diagrams via AI agents with real-time canvas sync. | 1,525 | 143 | JavaScript | null | MIT | 2026-03-06T06:27:40 | false | diagram-generation-mcp | 0 | 5 | null | mcp-excalidraw-server | 5 |
f/mcptools | mcptools | A command-line interface for interacting with MCP (Model Context Protocol) servers using both stdio and HTTP transport. | 1,514 | 117 | Go | [
"mcp",
"mcp-server",
"modelcontextprotocol"
] | MIT | 2025-12-18T10:20:08 | false | go-mcp-servers | 0 | 0 | null | null | null |
doobidoo/mcp-memory-service | mcp-memory-service | Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation. | 1,504 | 215 | Python | [
"agent-memory",
"agentic-ai",
"ai-agents",
"autogen",
"claude",
"crewai",
"knowledge-graph",
"langgraph",
"long-term-memory",
"mcp",
"mcp-server",
"memory",
"model-context-protocol",
"multi-agent",
"open-source",
"rag",
"semantic-search",
"sqlite-vec",
"vector-database",
"vecto... | Apache-2.0 | 2026-03-11T05:16:49 | false | agent-memory-systems | 0 | 0 | null | null | 159 |
tavily-ai/tavily-mcp | tavily-mcp | Production ready MCP server with real-time search, extract, map & crawl. | 1,498 | 215 | JavaScript | null | MIT | 2026-03-13T19:29:53 | false | web-search-mcp | 0 | 4 | null | tavily-mcp | 12 |
isaacphi/mcp-language-server | mcp-language-server | mcp-language-server gives MCP enabled clients access semantic tools like get definition, references, rename, and diagnostics. | 1,478 | 119 | Go | [
"ai",
"language-server-protocol",
"mcp",
"mcp-server",
"model-context-protocol"
] | BSD-3-Clause | 2026-03-01T23:27:09 | false | vscode-editor-integration | 0 | 0 | null | null | 0 |
ForLoopCodes/contextplus | contextplus | Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph. | 1,452 | 91 | TypeScript | [
"mcp-server"
] | MIT | 2026-03-10T17:47:58 | false | code-review-mcp | 0 | 0 | null | null | 31 |
korotovsky/slack-mcp-server | slack-mcp-server | The most powerful MCP Slack Server with no permission requirements, Apps support, GovSlack, DMs, Group DMs and smart history fetch logic. | 1,441 | 258 | Go | [
"assistants",
"govslack",
"llm",
"mcp",
"mcp-server",
"slack",
"slack-api"
] | MIT | 2026-03-05T17:31:07 | false | slack-mcp-servers | 0 | 0 | null | null | 8 |
zinja-coder/jadx-ai-mcp | jadx-ai-mcp | Plugin for JADX to integrate MCP server | 1,437 | 154 | Java | [
"ai",
"java",
"llm",
"mcp",
"mcp-server",
"mcp-servers",
"mobile",
"model-context-protocol",
"model-context-protocol-servers",
"pentesting",
"reverse-engineering",
"sast",
"vapt"
] | Apache-2.0 | 2026-02-28T17:08:29 | false | android-device-automation | 0 | 0 | null | null | 8 |
MicrosoftDocs/mcp | mcp | Official Microsoft Learn MCP Server – powering LLMs and AI agents with real-time, trusted Microsoft docs & code samples. | 1,434 | 170 | TypeScript | [
"agent-skills",
"ai",
"ai-agents",
"copilot",
"documentation",
"llm",
"mcp",
"mcp-server",
"microsoft",
"microsoft-learn",
"rag",
"skills"
] | CC-BY-4.0 | 2026-03-11T09:53:08 | false | desktop-application-control | 0 | 0 | null | null | 14 |
CoderGamester/mcp-unity | mcp-unity | Model Context Protocol (MCP) plugin to connect with Unity Editor — designed for Cursor, Claude Code, Codex, Windsurf and other IDEs | 1,408 | 180 | C# | [
"antigravity-ide",
"claudecode",
"codex-cli",
"copilot",
"cursor",
"game-development",
"gemini",
"mcp",
"model-context-protocol",
"openai",
"unity",
"unity-package",
"unity3d",
"windsurf"
] | MIT | 2026-03-10T22:38:08 | false | unity-mcp-servers | 0 | 0 | null | null | 9 |
universal-tool-calling-protocol/code-mode | code-mode | 🔌 Plug-and-play library to enable agents to call MCP and UTCP tools via code execution. | 1,364 | 91 | Python | [
"ai-agents",
"codemode",
"mcp",
"model-context-protocol",
"toolchain",
"utcp"
] | MPL-2.0 | 2026-02-08T16:48:23 | false | code-execution-sandbox | 0 | 0 | null | null | 0 |
Azure/data-api-builder | data-api-builder | Data API builder provides modern REST, GraphQL endpoints and MCP tools to your Azure Databases and on-prem stores. | 1,330 | 317 | C# | [
"api",
"azure",
"database",
"graphql",
"hacktoberfest",
"mcp",
"mcp-server",
"microsoft",
"rest"
] | MIT | 2026-03-13T06:25:11 | false | openapi-mcp-generation | 0 | 0 | null | null | 39 |
BlackSnufkin/LitterBox | LitterBox | A secure sandbox environment for malware developers and red teamers to test payloads against detection mechanisms before deployment. Integrates with LLM agents via MCP for enhanced analysis capabilities. | 1,323 | 149 | YARA | [
"ai",
"docker-compose",
"malware-analysis",
"malware-development",
"mcp",
"mcp-server",
"offensive-security",
"redteam",
"sandbox"
] | GPL-3.0 | 2025-11-12T13:30:29 | false | code-execution-sandbox | 0 | 0 | null | null | null |
regenrek/deepwiki-mcp | deepwiki-mcp | 📖 MCP server for fetch deepwiki.com and get latest knowledge in Cursor and other Code Editors | 1,305 | 74 | TypeScript | null | MIT | 2026-03-20T22:38:26 | false | documentation-access-mcp | 0 | 24 | null | mcp-deepwiki | 0 |
MiniMax-AI/MiniMax-MCP | MiniMax-MCP | Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs. | 1,304 | 233 | Python | [
"image-generation",
"image-to-video",
"mcp",
"mcp-server",
"mcp-tools",
"text-to-image",
"text-to-speech",
"text-to-video",
"video-generation",
"voice-cloning"
] | MIT | 2026-01-07T08:41:17 | false | wiki-knowledge-retrieval | 0 | 0 | null | null | 0 |
qdrant/mcp-server-qdrant | mcp-server-qdrant | An official Qdrant Model Context Protocol (MCP) server implementation | 1,270 | 239 | Python | [
"claude",
"cursor",
"llm",
"mcp",
"mcp-server",
"semantic-search",
"windsurf"
] | Apache-2.0 | 2026-01-28T20:51:03 | false | vector-knowledge-bases | 0 | 0 | null | null | 1 |
IvanMurzak/Unity-MCP | Unity-MCP | AI-powered bridge connecting LLMs and advanced AI agents to the Unity Editor via the Model Context Protocol (MCP). Chat with AI to generate code, debug errors, and automate game development tasks directly within your project. | 1,265 | 131 | C# | [
"ai",
"ai-integration",
"anthropic",
"claude",
"claude-code",
"claude-desktop",
"copilot",
"cursor",
"deepseek",
"game-development",
"gamedev",
"gemini",
"llm",
"mcp",
"mcp-server",
"model-context-protocol",
"model-context-protocol-server",
"openai",
"unity",
"windsurf"
] | Apache-2.0 | 2026-03-11T12:44:30 | false | unity-mcp-servers | 0 | 0 | null | null | 217 |
refreshdotdev/web-eval-agent | web-eval-agent | An MCP server that autonomously evaluates web applications. | 1,239 | 106 | Python | [
"debugging",
"debugging-tool",
"mcp",
"mcp-server",
"modelcontextprotocol",
"playwright",
"qa",
"vibe-coding",
"vibe-testing"
] | Apache-2.0 | 2026-02-11T14:55:42 | false | browser-automation-mcp | 0 | 0 | null | null | 0 |
grafbase/grafbase | grafbase | The Grafbase GraphQL Federation Gateway | 1,220 | 69 | Rust | [
"ai",
"api",
"enterprise-graphql",
"federation",
"graphql",
"graphql-federation",
"mcp",
"model-context-protocol",
"rust",
"webassembly"
] | MPL-2.0 | 2026-03-05T14:49:47 | false | graphql-api-integration | 0 | 0 | null | null | 12 |
joey-zhou/xiaozhi-esp32-server-java | xiaozhi-esp32-server-java | 小智ESP32的Java企业级管理平台，提供设备监控、音色定制、角色切换和对话记录管理的前后端及服务端一体化解决方案 | 1,162 | 428 | Java | [
"esp32",
"java",
"mcp",
"mcp-client",
"mcp-server",
"spring-ai",
"stt",
"tts",
"xiaozhi",
"xiaozhi-ai",
"xiaozhi-esp32",
"xiaozhi-server"
] | MIT | 2026-02-26T07:31:08 | false | home-assistant-mcp | 0 | 0 | null | null | 0 |
designcomputer/mysql_mcp_server | mysql_mcp_server | A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases | 1,154 | 229 | Python | [
"ai",
"mcp",
"model-context-protocol",
"mysql"
] | MIT | 2025-06-05T11:05:28 | false | sql-database-mcp | 0 | 0 | null | null | null |
End of preview.
MCP Quality Index
Daily-updated quality scores for 12,000+ MCP (Model Context Protocol) server repositories.
Dataset description
Every MCP registry today is a flat catalog. None of them tell you whether a server is maintained, adopted, or safe to depend on. This dataset scores every MCP-domain repository on GitHub across four dimensions: maintenance, adoption, maturity, and community.
Files
| File | Records | Description |
|---|---|---|
mcp-scores.json |
12,653 | Quality scores with component breakdown and risk flags |
mcp-repos.json |
12,512 | All active MCP repos with GitHub + package metrics |
projects.json |
441 | Tracked AI projects with traction scores and velocity |
Scoring model
Each repo receives a composite quality score (0-100) from four equally-weighted components:
- Maintenance (0-25): commit activity + push recency
- Adoption (0-25): stars + downloads + reverse dependents
- Maturity (0-25): license + published package + repo age
- Community (0-25): forks + fork-to-star ratio
Scores map to tiers: Verified (70+), Established (50-69), Emerging (30-49), Experimental (<30).
Full methodology: METHODOLOGY.md
Source
Data is produced by PT-Edge, which tracks 166,000+ AI repositories across GitHub, PyPI, npm, Docker Hub, HuggingFace, and Hacker News.
Update frequency
Daily at approximately 06:00 UTC.
Citation
@misc{mcp-quality-index-2026,
title={MCP Quality Index},
author={PT-Edge},
year={2026},
url={https://github.com/grahamrowe82/mcp-quality-index}
}
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