MCP Serverslangchain-mcp
Created at 2 months ago
by rectalogic
Model Context Protocol tool support for LangChain
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what is langchain-mcp?
langchain-mcp is a tool that provides support for the Model Context Protocol (MCP) within the LangChain framework, enabling seamless interactions with various tools defined under the MCP.
how to use langchain-mcp?
To use langchain-mcp, create an instance of langchain_mcp.MCPToolkit with an mcp.ClientSession. After that, run await toolkit.initialize() to set it up and toolkit.get_tools() to retrieve a list of available tools.
key features of langchain-mcp?
- Integration with the Model Context Protocol for enhanced tool support
- Initialization and retrieval of tools through a simple API
- Ability to run demos against external services like Groq
use cases of langchain-mcp?
- Facilitating tool interactions in data processing workflows.
- Using the MCP for model training and real-time data summarization.
- Running specialized demos for understanding file content.
FAQ from langchain-mcp?
- What is the Model Context Protocol?
The Model Context Protocol is a specification that allows models to interact with various tools through defined interfaces for improved functionality.
- Can I use langchain-mcp with any programming language?
langchain-mcp is designed to be used with Python and specifically integrates into the LangChain framework.
- Is there a demo available?
Yes! A demo can be run using
tests/demo.py, which showcases how to read and summarize files using the MCP.
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