{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks"}],"enrichment":{"capability":"Converts Anthropic Model Context Protocol (MCP) tools into LangChain-compatible tools for use with LangGraph agents, and provides a client to connect to multiple MCP servers and load their tools.","skillfed_tags":["mcp-integration","agent-tools","langgraph"],"use_cases":["Build LangGraph agents that call external MCP-based tools (e.g., math operations, weather lookups) as part of agentic workflows","Aggregate tools from multiple MCP servers and expose them to a single LangChain agent without managing individual connections","Add authentication headers to MCP server connections for secure tool access in production environments","Convert existing MCP tool definitions into LangChain tool objects for use with OpenAI or other LLM-based agents"],"what_it_does":"This library bridges Anthropic's Model Context Protocol (MCP) and LangChain by wrapping MCP tools so they work with LangChain agents and LangGraph workflows. It provides two main entry points: a tool loader that converts a single MCP session's tools into LangChain-compatible objects, and a multi-server client that manages connections to multiple MCP servers and aggregates their tools. The library handles both stdio and HTTP transports, supports custom headers for authentication, and distinguishes between tool execution errors (which it returns as error messages to the agent) and protocol failures.\n\nTypical usage involves creating an MCP server with decorated functions, then on the client side instantiating either a direct session or a MultiServerMCPClient, loading tools from it, and passing those tools to a LangChain agent or LangGraph workflow. The library is actively maintained and requires Python 3.10 or later, with dependencies on langchain-core, mcp, and typing-extensions.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, installs with low friction, and solves a clear integration problem between two widely-used frameworks. Use it if you have MCP tools and want to use them in LangChain or LangGraph agents."},"id":"langchain-mcp-adapters","links":{"html":"https://skillfed.io/packages/langchain-mcp-adapters","md":"https://skillfed.io/packages/langchain-mcp-adapters.md","pypi":"https://pypi.org/project/langchain-mcp-adapters/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-06","license_spdx":"MIT","license_treatment":"permissive","name":"langchain-mcp-adapters","python_support":"supports_current","summary":"Make Anthropic Model Context Protocol (MCP) tools compatible with LangChain and LangGraph agents."},"popularity":{"monthly_downloads":7996429,"position":1673,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.3.2"}