langchain-mcp-adapters and MCP-Mastery-with-Claude-and-Langchain

These are complements: the official LangChain-MCP adapters provide the core integration layer for connecting MCP servers to LangChain agents, while the MCP-Mastery project demonstrates practical implementations of that integration pattern using additional tools like LangGraph and Ollama.

Maintenance 20/25
Adoption 15/25
Maturity 25/25
Community 21/25
Maintenance 10/25
Adoption 6/25
Maturity 7/25
Community 20/25
Stars: 3,411
Forks: 379
Downloads:
Commits (30d): 21
Language: Python
License: MIT
Stars: 21
Forks: 24
Downloads:
Commits (30d): 0
Language: HTML
License:
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About langchain-mcp-adapters

langchain-ai/langchain-mcp-adapters

LangChain 🔌 MCP

This project helps AI developers integrate external capabilities, like custom calculators or data lookups, into their LangChain or LangGraph AI agents. It takes existing 'Model Context Protocol' (MCP) tools, which are essentially specialized functions, and makes them accessible to the AI agent. The result is an AI agent that can perform a wider range of tasks by using these external tools.

AI development LLM integration tool orchestration agent workflow external service connection

About MCP-Mastery-with-Claude-and-Langchain

laxmimerit/MCP-Mastery-with-Claude-and-Langchain

Build MCP servers & clients with Python, Streamlit, ChromaDB, LangChain, LangGraph agents, and Ollama integrations

This project helps developers build and deploy custom AI applications that can analyze data from sources like Excel, PowerPoint, and SQLite. It provides tools to integrate large language models (LLMs) like Claude with custom data, enabling creation of intelligent agents. Software developers, AI engineers, and data scientists can use this to create custom AI solutions for specific business needs.

AI Development Data Analysis Automation Custom AI Applications Machine Learning Engineering

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