MCP Chat
mcp-chat is an open-source and general-purpose MCP client tool for testing and evaluating MCP servers and proxies. It supports command-line interaction and web mode, can connect to various MCP servers (JS/Python/Docker), and provides functions such as chat history recording, model selection, and system prompt customization to help developers debug MCP services.
2.5 points
7.7K

What is mcp-chat?

mcp-chat is an open-source tool that allows developers or users to interact with various MCP servers through the command line or web interface. It supports connecting to different types of MCP servers (implemented in JavaScript, Python, or Docker) and can test server functions by having conversations with AI models in natural language.

How to use mcp-chat?

You can start mcp-chat with a simple npx command, specify the MCP server to connect to, and then interact with the AI model in a conversational form. It supports two modes: command-line interaction mode and web interface mode.

Applicable scenarios

It is suitable for scenarios such as MCP server developers testing functions, AI application developers integrating the MCP protocol, and technology enthusiasts exploring the integration of AI and tools.

Main features

Command-line interaction mode
Have conversations with the AI model directly in the terminal, suitable for quick testing and automation scripts.
Web interface mode
A user-friendly interface accessible via a browser, supporting dynamic configuration of MCP servers.
Multi-server support
Can connect to MCP servers implemented in JavaScript, Python, or Docker.
Model selection
Supports selecting different AI models for conversations (currently supports Anthropic models).
Conversation history saving
Automatically saves all chat records and settings for subsequent viewing and continued conversations.
Advantages
A simple and easy-to-use interaction interface that lowers the threshold for using the MCP protocol.
Supports multiple operating environments and server types.
A complete conversation history recording function.
Developer-friendly debugging tools that allow direct viewing of tool call details.
Limitations
Currently only supports Anthropic's AI models.
Requires some command-line knowledge for initial configuration.
The web interface functions are relatively basic.

How to use

Installation preparation
Ensure that the Node.js environment is installed and the ANTHROPIC_API_KEY environment variable is set.
Start in command-line mode
Start with the npx command and specify the MCP server to connect to.
Start in web mode
Add the --web parameter to start the web server, and then access it in the browser.
Interact with the AI
Enter your questions or instructions in the command line or web interface, and the AI will perform operations through the MCP server and return the results.

Usage examples

Test file system operations
Use the file system MCP server to query desktop files.
Kubernetes cluster management
Use the Kubernetes MCP server to manage the cluster.
Weather query
Use the weather MCP server to obtain weather information.

Frequently Asked Questions

How to obtain the ANTHROPIC_API_KEY?
Which AI models are supported?
How to develop your own MCP server?
Where are the chat records saved?
What functions does the web interface support?

Related resources

GitHub repository
Project source code and latest documentation
Anthropic console
Obtain the API key
MCP protocol documentation
Official documentation of the Model Context Protocol
npm package page
Package information on npm

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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