MCP Chat with Claude
by jiangyan
A full-stack application demonstrating the integration of Model Context Protocol (MCP) with Anthropic's Claude LLM. It provides an interactive chat interface that leverages MCP tools.
Last updated: N/A
What is MCP Chat with Claude?
This is a full-stack application that integrates the Model Context Protocol (MCP) with Anthropic's Claude LLM. It includes multiple MCP servers, a host app, and a web client to enable interactive chat with Claude AI using specialized tools.
How to use MCP Chat with Claude?
To use this application, clone the repository, install dependencies for both client and server, configure environment variables with your Anthropic API key and MCP server URLs, start the MCP servers, start the host app, and then access the chat interface in your browser at http://localhost:3000.
Key features of MCP Chat with Claude
Interactive chat interface with Claude AI
Two-panel UI showing conversation and tool execution details
Dynamic tool discovery from multiple MCP servers
Support for specialized tools with different parameters from each server
Use cases of MCP Chat with Claude
Integrating LLMs with external tools
Building chatbots with specialized functionalities
Demonstrating the Model Context Protocol
Creating interactive applications powered by AI
FAQ from MCP Chat with Claude
What is MCP?
What is MCP?
Model Context Protocol (MCP) is a protocol that allows LLMs to interact with external tools.
What is Claude?
What is Claude?
Claude is a large language model from Anthropic.
What are the prerequisites for running this application?
What are the prerequisites for running this application?
Node.js 17 or higher, npm or yarn, and an Anthropic API key.
How do I add a new tool to an MCP server?
How do I add a new tool to an MCP server?
Open the server file, add a new tool definition following the existing pattern, rebuild, and restart the server.
What should I do if I encounter connection issues?
What should I do if I encounter connection issues?
Ensure both MCP servers and the host app are running and check the console for error messages.