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Enable your agents to browse folders and read files from Google Drive using an MCP server connection. |
#### → [Hugging Face MCP](https://github.com/VoltAgent/voltagent/tree/main/examples/with-hugging-face-mcp) |
Access HuggingFace's vast collection of models and tools through MCP, allowing your agents to leverage specialized AI capabilities. |
#### → [Zapier MCP Integration](https://github.com/VoltAgent/voltagent/tree/main/examples/with-zapier-mcp) |
Connect your agents to thousands of applications through Zapier's automation platform using MCP integration. |
#### → [Peaka MCP Integration](https://github.com/VoltAgent/voltagent/tree/main/examples/with-peaka-mcp) |
Integrate Peaka's data federation and query services into your agents through MCP tools for unified data access. |
### Deployment Platforms |
#### → [Next.js Integration](https://github.com/VoltAgent/voltagent/tree/main/examples/with-nextjs) |
Build a React-based frontend that communicates with VoltAgent APIs, featuring streaming responses for real-time agent interactions. |
#### → [Nuxt Integration](https://github.com/VoltAgent/voltagent/tree/main/examples/with-nuxt) |
Create a Vue/Nuxt application that seamlessly integrates with VoltAgent's backend services for server-side rendered agent experiences. |
#### → [Cloudflare Workers Deployment](https://github.com/VoltAgent/voltagent/tree/main/examples/with-cloudflare-workers) |
Deploy your agents to Cloudflare's edge network using the Hono server adapter for global, low-latency serverless execution. |
#### → [Netlify Functions Deployment](https://github.com/VoltAgent/voltagent/tree/main/examples/with-netlify-functions) |
Host your agent APIs as serverless functions on Netlify, enabling easy deployment with automatic scaling and CDN distribution. |
### Advanced Patterns |
#### → [Supervisor and Sub-agents](https://github.com/VoltAgent/voltagent/tree/main/examples/with-subagents) |
Implement hierarchical agent systems where a supervisor agent coordinates multiple specialized sub-agents, each handling specific aspects of complex tasks. |
#### → [Multi-step Workflows](https://github.com/VoltAgent/voltagent/tree/main/examples/with-workflow) |
Create sophisticated multi-step workflows using createWorkflowChain, including human-in-the-loop approval steps for critical decisions. |
#### → [Working Memory Management](https://github.com/VoltAgent/voltagent/tree/main/examples/with-working-memory) |
Maintain per-conversation facts and context that persist across interactions, with built-in tools for reading and updating stored information. |
#### → [Semantic Vector Search](https://github.com/VoltAgent/voltagent/tree/main/examples/with-vector-search) |
Enable agents to automatically recall relevant context from past conversations using semantic memory and vector similarity search. |
#### → [Client-side Tool Execution](https://github.com/VoltAgent/voltagent/tree/main/examples/with-client-side-tools) |
Execute type-safe tools directly in the browser while maintaining security, with a Next.js frontend managing client-side interactions. |
#### → [Agent-to-Agent Communication](https://github.com/VoltAgent/voltagent/tree/main/examples/with-a2a-server) |
Set up HTTP endpoints that allow different agents to communicate with each other, enabling distributed multi-agent architectures. |
### Tools & Utilities |
#### → [Zod-typed Tool Creation](https://github.com/VoltAgent/voltagent/tree/main/examples/with-tools) |
Learn how to create type-safe tools using Zod schemas, with support for cancellation, streaming responses, and full TypeScript inference. |
#### → [Structured Thinking Tool](https://github.com/VoltAgent/voltagent/tree/main/examples/with-thinking-tool) |
Give your agents a dedicated thinking tool that enables structured reasoning and step-by-step problem solving before providing final answers. |
#### → [Playwright Browser Automation](https://github.com/VoltAgent/voltagent/tree/main/examples/with-playwright) |
Equip your agents with browser automation capabilities using Playwright, enabling them to interact with web pages, fill forms, and extract data. |
#### → [Dynamic Prompt Generation](https://github.com/VoltAgent/voltagent/tree/main/examples/with-dynamic-prompts) |
Build prompts programmatically from templates and runtime data, allowing you to customize agent behavior based on context and user input. |
#### → [Dynamic Parameter Validation](https://github.com/VoltAgent/voltagent/tree/main/examples/with-dynamic-parameters) |
Validate and inject runtime parameters into your agents using Zod schemas, ensuring type safety and proper input handling at execution time. |
### Observability & Evaluation |
#### → [OpenTelemetry Trace Example](https://github.com/VoltAgent/voltagent/tree/main/examples/sdk-trace-example) |
Set up OpenTelemetry tracing with VoltOps integration, allowing you to inspect detailed execution spans and understand your agent's decision-making process. |
#### → [Langfuse Integration](https://github.com/VoltAgent/voltagent/tree/main/examples/with-langfuse) |
Export traces and metrics to Langfuse's observability platform for comprehensive monitoring, debugging, and performance analysis of your AI agents. |
#### → [Live Agent Evaluations](https://github.com/VoltAgent/voltagent/tree/main/examples/with-live-evals) |
Run real-time evaluations on your agents during development, helping you catch issues and validate behavior changes immediately. |
#### → [Offline Batch Evaluations](https://github.com/VoltAgent/voltagent/tree/main/examples/with-offline-evals) |
Test your agents against predefined datasets in batch mode, enabling systematic regression testing and quality assurance. |
#### → [ViteVal Evaluation](https://github.com/VoltAgent/voltagent/tree/main/examples/with-viteval) |
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