LangChain MCP Client Streamlit App
This Streamlit application provides a user interface for connecting to MCP (Model Context Protocol) servers and interacting with them using different LLM providers (OpenAI, Anthropic, Google...).
Overview
What is LangChain MCP Client?
LangChain MCP Client is a Streamlit application that provides a user-friendly interface for connecting to Model Context Protocol (MCP) servers and interacting with various Large Language Model (LLM) providers such as OpenAI, Anthropic, and Google.
How to use LangChain MCP Client?
To use the LangChain MCP Client, clone the repository, set up a virtual environment, install the required dependencies, and run the Streamlit app. Ensure you have an MCP server running or a valid URL to connect to.
Key features of LangChain MCP Client?
- Connect to MCP servers via Server-Sent Events (SSE)
- Support for single and multiple server configurations
- Select between different LLM providers (OpenAI, Anthropic, Google)
- Interactive chat interface for LLM agent interaction
- Display of tool execution results directly in the UI
Use cases of LangChain MCP Client?
- Testing and interacting with different LLMs in real-time.
- Managing multiple MCP servers for diverse applications.
- Utilizing available tools from connected MCP servers for various tasks.
FAQ from LangChain MCP Client?
- What is an MCP server?
An MCP server is a server that implements the Model Context Protocol, allowing for interaction with LLMs.
- How do I set up an MCP server?
You can set up an MCP server by installing the MCP library and running the provided server script.
- Can I use local LLMs with this application?
Yes! The application supports connecting to local LLMs as well as cloud-based providers.
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