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app.py

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+import gradio as gr
+import pandas as pd
+
+# MCP Server Katalog
+data = {
+    "Name": [
+        "solana-mcp-server", "germany-mcp-server", "agriculture-mcp-server",
+        "space-mcp-server", "aviation-mcp-server", "eu-company-mcp-server",
+        "openmeteo-mcp-server", "cybersecurity-mcp-server", "medical-data-mcp-server",
+        "political-finance-mcp-server", "supply-chain-mcp-server", "energy-grid-mcp-server",
+        "crossref-academic-mcp-server", "llm-benchmark-mcp-server",
+        "mcp-appstore-server", "api-to-mcp-converter", "agent-memory-mcp-server",
+        "agent-directory-mcp-server", "agent-reputation-mcp-server",
+        "agent-feedback-mcp-server", "prompt-library-mcp-server",
+        "agent-coordination-mcp-server", "agent-workflow-mcp-server",
+        "agent-analytics-mcp-server", "x402-mcp-server",
+        "agent-interface-standard", "agent-validator-mcp-server",
+        "business-bridge-mcp-server", "agent-commerce-mcp-server",
+        "agent-identity-mcp-server", "a2a-protocol-mcp-server",
+        "agentic-product-protocol-mcp", "agent-policy-gateway-mcp",
+        "hive-mind-mcp-server", "agent-context-optimizer-mcp",
+        "legal-court-mcp-server", "agent-server-card-mcp", "agent-audit-trail-mcp"
+    ],
+    "Category": [
+        "Data", "Data", "Data", "Data", "Data", "Data", "Data", "Data", "Data",
+        "Data", "Data", "Data", "Data", "Data",
+        "Agent Infrastructure", "Agent Infrastructure", "Agent Infrastructure",
+        "Agent Infrastructure", "Agent Infrastructure", "Agent Infrastructure",
+        "Agent Infrastructure", "Agent Infrastructure", "Agent Infrastructure",
+        "Agent Infrastructure", "Agent Infrastructure",
+        "Business-to-Agent", "Business-to-Agent", "Business-to-Agent",
+        "Business-to-Agent", "Business-to-Agent",
+        "Agent Protocols", "E-Commerce", "Compliance",
+        "Swarm Intelligence", "Agent Infrastructure",
+        "Data", "Agent Infrastructure", "Compliance"
+    ],
+    "Description": [
+        "Solana blockchain - wallets, tokens, DeFi, security",
+        "German government and public authority data",
+        "FAO agricultural data and statistics",
+        "NASA and ESA space data",
+        "Aviation and flight tracking data",
+        "EU company registry data",
+        "Weather and climate via Open-Meteo",
+        "CVE vulnerability and security data",
+        "WHO health and medical data",
+        "FEC campaign finance data",
+        "UN Comtrade supply chain data",
+        "CO2 intensity, electricity mix, energy prices",
+        "Scientific papers, citations, authors",
+        "LLM comparison, benchmarks, pricing",
+        "MCP server hub with 49+ servers",
+        "Convert OpenAPI specs to MCP servers",
+        "Persistent memory for AI agents",
+        "Service registry for AI agents",
+        "Trust scores for AI agents",
+        "Quality signals for AI agents",
+        "Prompt template library",
+        "Multi-agent messaging",
+        "Workflow templates for agents",
+        "Usage analytics for agents",
+        "Micropayments via x402 protocol",
+        "Schema.org for agents",
+        "Agent accessibility validator",
+        "Shopify/WordPress/Calendly connectors",
+        "Agent purchase protocol",
+        "OAuth for AI agents",
+        "Google A2A Protocol bridge",
+        "Product discovery for shopping agents",
+        "PII detection, guardrails, GDPR checks",
+        "Collective decision-making for swarms",
+        "Context window optimization",
+        "CourtListener legal data, 3M+ decisions",
+        ".well-known server discovery",
+        "Immutable audit logging for agents"
+    ],
+    "Tools": [
+        11, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 5,
+        6, 4, 6, 6, 6, 6, 6, 6, 6, 6, 6,
+        4, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6
+    ],
+    "API Key": [
+        "Yes", "No", "No", "Yes", "Yes", "No", "No", "No", "No",
+        "Yes", "No", "No", "No", "No",
+        "No", "No", "No", "No", "No", "No", "No", "No", "No", "No", "No",
+        "No", "No", "No", "No", "No", "No", "No", "No", "No", "No", "No", "No", "No"
+    ],
+    "Install": [
+        "pip install solana-mcp-server", "pip install germany-mcp-server",
+        "pip install agriculture-mcp-server", "pip install space-mcp-server",
+        "pip install aviation-mcp-server", "pip install eu-company-mcp-server",
+        "pip install openmeteo-mcp-server", "pip install cybersecurity-mcp-server",
+        "pip install medical-data-mcp-server", "pip install political-finance-mcp-server",
+        "pip install supply-chain-mcp-server", "pip install energy-grid-mcp-server",
+        "pip install crossref-academic-mcp-server", "pip install llm-benchmark-mcp-server",
+        "pip install mcp-appstore-server", "pip install api-to-mcp-converter",
+        "pip install agent-memory-mcp-server", "pip install agent-directory-mcp-server",
+        "pip install agent-reputation-mcp-server", "pip install agent-feedback-mcp-server",
+        "pip install prompt-library-mcp-server", "pip install agent-coordination-mcp-server",
+        "pip install agent-workflow-mcp-server", "pip install agent-analytics-mcp-server",
+        "pip install x402-mcp-server", "pip install agent-interface-standard",
+        "pip install agent-validator-mcp-server", "pip install business-bridge-mcp-server",
+        "pip install agent-commerce-mcp-server", "pip install agent-identity-mcp-server",
+        "pip install a2a-protocol-mcp-server", "pip install agentic-product-protocol-mcp",
+        "pip install agent-policy-gateway-mcp", "pip install hive-mind-mcp-server",
+        "pip install agent-context-optimizer-mcp", "pip install legal-court-mcp-server",
+        "pip install agent-server-card-mcp", "pip install agent-audit-trail-mcp"
+    ]
+}
+
+df = pd.DataFrame(data)
+
+def search_servers(query, category):
+    filtered = df.copy()
+    if category and category != "All":
+        filtered = filtered[filtered["Category"] == category]
+    if query:
+        query_lower = query.lower()
+        mask = (
+            filtered["Name"].str.lower().str.contains(query_lower) |
+            filtered["Description"].str.lower().str.contains(query_lower) |
+            filtered["Category"].str.lower().str.contains(query_lower)
+        )
+        filtered = filtered[mask]
+    return filtered
+
+def get_stats():
+    total = len(df)
+    categories = df["Category"].value_counts().to_dict()
+    total_tools = df["Tools"].sum()
+    no_key = len(df[df["API Key"] == "No"])
+    stats = f"**{total} MCP Servers** | **{total_tools} Tools** | **{no_key} without API key**\n\n"
+    stats += "| Category | Count |\n|---|---|\n"
+    for cat, count in sorted(categories.items()):
+        stats += f"| {cat} | {count} |\n"
+    return stats
+
+categories = ["All"] + sorted(df["Category"].unique().tolist())
+
+with gr.Blocks(title="MCP Server Explorer", theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# MCP Server Explorer")
+    gr.Markdown("Browse and search 38 Model Context Protocol servers for AI agents. All servers are open-source and installable via pip.")
+
+    with gr.Row():
+        search_box = gr.Textbox(label="Search", placeholder="Search by name, description, or category...", scale=3)
+        category_filter = gr.Dropdown(choices=categories, value="All", label="Category", scale=1)
+
+    table = gr.Dataframe(
+        value=df,
+        label="MCP Servers",
+        interactive=False,
+        wrap=True
+    )
+
+    with gr.Accordion("Statistics", open=False):
+        stats_md = gr.Markdown(get_stats())
+
+    search_box.change(fn=search_servers, inputs=[search_box, category_filter], outputs=table)
+    category_filter.change(fn=search_servers, inputs=[search_box, category_filter], outputs=table)
+
+    gr.Markdown("---")
+    gr.Markdown("Built by [AiAgentKarl](https://github.com/AiAgentKarl) | [Dataset](https://huggingface.co/datasets/aiagentkarl/mcp-server-catalog)")
+
+demo.launch()