Overview
langchain-mcp Introduction
langchain-mcp is a tool that provides support for the Model Context Protocol within the LangChain framework, allowing for efficient tool calling and integration.
How to Use
To use langchain-mcp, create a `langchain_mcp.MCPToolkit` with an `mcp.ClientSession`, then call `await toolkit.initialize()` followed by `toolkit.get_tools()` to retrieve the available tools.
Key Features
Key features include seamless integration with the Model Context Protocol, the ability to call tools efficiently, and support for various tool types through the LangChain framework.
Where to Use
langchain-mcp can be used in fields such as AI development, natural language processing, and any application requiring context-aware tool integration.
Use Cases
Use cases for langchain-mcp include summarizing documents, extracting information from files, and enhancing AI models with context-specific tools.
Content
MarkItDown MCP
semantic-kernel
repomix
Context 7
Github MCP
