MCP Client Using LangChain / Python

What is MCP Client Using LangChain / Python?

MCP Client Using LangChain / Python is a client that demonstrates the use of Model Context Protocol (MCP) server tools by the LangChain ReAct Agent, allowing for the integration of various language models.

How to use MCP Client?

To use the MCP Client, install the necessary dependencies, set up your API keys, configure the MCP servers, and run the application using the provided commands.

Key features of MCP Client?

• Supports multiple language models from Anthropic, OpenAI, and Groq.
• Parallel initialization of multiple MCP servers.
• Converts MCP server tools into LangChain-compatible tools.

Use cases of MCP Client?

1. Integrating various language models for enhanced functionality.
2. Utilizing MCP server tools for diverse applications in AI.
3. Facilitating the development of applications that require multiple language model interactions.

FAQ from MCP Client?

• What are the prerequisites for using the MCP Client?

You need Python 3.11+, and optionally, uv and npm for running MCP servers.

• How do I set up API keys?

You can set up API keys by copying the .env.template to .env and updating it with your keys.

• Can I run the MCP Client without any configuration?

You can run it with example queries, but for specific use cases, configuration is recommended.