A complete example demonstrating how to build an MCP (Model Context Protocol) server and integrate it with LangChain and LangGraph for building AI agent workflows.
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Updated
Dec 11, 2025 - Python
A complete example demonstrating how to build an MCP (Model Context Protocol) server and integrate it with LangChain and LangGraph for building AI agent workflows.
A Python MCP playground for building FastMCP servers, connecting stdio/HTTP MCP clients, integrating LangChain tools, and testing third-party MCP servers like Tavily, DuckDuckGo, and AWS ECS.
Build MCP client-server using mcp and langchain adapters
Langchain MCP Adapters AI context pack for Claude Code, Codex, Cursor, and Aider: AGENTS.md, CLAUDE.md, prompts, evals, pitfalls, and verification notes for langchain-ai/langchain-mcp-adapters.
Streamlit based Conversational Bot using LangGraph Prebuilt Agents with MCP
A browser-based Streamlit playground to test MCP server tools. Connect to multiple servers, explore and run tools from a unified dashboard, customize themes, and share configurations for easy, user-friendly MCP tool management.
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