Open Source Generic MCP Client for testing & evaluating mcp servers and agents
Open Source Generic MCP Client for testing & evaluating mcp servers and agents
Make sure that you have ANTHROPIC_API_KEY exported in your environment or in a .env file in the root of the project. You can get an API key by signing up at the Anthropic Console keys page.
Simple use case that spawns an interactive chat prompt with the filesystem MCP server from CLI:
npx mcp-chat --server "npx -y @modelcontextprotocol/server-filesystem /Users/$USER/Desktop"
This will open up a chat prompt that you can use to interact with the servers and chat with an LLM.
You can also just specify your claude_desktop_config.json (Mac):
npx mcp-chat --config "~/Library/Application Support/Claude/claude_desktop_config.json"
Or (Windows):
npx mcp-chat --config "%APPDATA%\Claude\claude_desktop_config.json"
https://github.com/user-attachments/assets/b7e8a648-8084-4955-8cdf-fc6eb141572e
You can also run mcp-chat in web mode by specifying the --web flag (make sure to have ANTHROPIC_API_KEY exported in your environment):
npx mcp-chat --web
In web mode, you can start new chats, send messages to the model, and dynamically configure the mcp servers via the UI - no need to specify on the command line. In addition, chats created via the Web UI are saved to ~/.mcpchats/chats just like chats created via the CLI.
-p--web-m--system~/.mcpchat/chats including web chats~/.mcpchat/historyRun prompts via CLI with the -p flag:
npx mcp-chat --server "npx mcp-server-kubernetes" -p "List the pods in the default namespace"
This runs the prompt with the kubenertes mcp-server & exits after the response is received on stdout.
Choose a model to chat with via CLI with the -m flag:
npx mcp-chat --server "npx mcp-server-kubernetes" -m "claude-3.5"
Uses the model claude-3.5 to chat with. Note that currently only Anthropic models are supported.
Custom system prompt:
--system flag can be used to specify a system prompt:
npx mcp-chat --system "Explain the output to the user in pirate speak." --server "npx mcp-server-kubernetes" -p "List the pods in the default namespace"
You can pass in a local build of a python or node mcp-server to test it out with mcp-chat:
Node JS:
# Directly executing built script
npx mcp-chat --server "/path/to/mcp-server-kubernetes/dist/index.js"
# Using node / bun
npx mcp-chat --server "node /path/to/mcp-server-kubernetes/dist/index.js"
Python:
# Python: Using uv
npx mcp-chat --server "uv --directory /path/to/mcp-server-weather/ run weather.py"
# Using python / python3 - make sure to run in venv or install deps globally
npx mcp-chat --server "/path/to/mcp-server-weather/weather.py"
Install dependencies & run the CLI:
git clone https://github.com/Flux159/mcp-chat
bun install
bun run dev
To develop mcp-chat while connecting to an mcp-server, make a build & run the CLI with the server flag:
npm run build && node dist/index.js --server "npx mcp-server-kubernetes" -p "List the pods in the default namespace"
Testing:
bun run test
Building:
bun run build
Publishing:
bun run publish
Publishing Docker:
bun run dockerbuild
├── src/
│ ├── index.ts # Main client implementation & CLI params
│ ├── constants.ts # Default constants
│ ├── interactive.ts # Interactive chat prompt handling & logic
├── test/ # Test files
│ ├── cli.test.ts # Test CLI params
│ ├── config.test.ts # Test config file parsing
Go to the releases page, click on "Draft New Release", click "Choose a tag" and create a new tag by typing out a new version number using "v{major}.{minor}.{patch}" semver format. Then, write a release title "Release v{major}.{minor}.{patch}" and description / changelog if necessary and click "Publish Release".
This will create a new tag which will trigger a new release build via the cd.yml workflow. Once successful, the new release will be published to npm. Note that there is no need to update the package.json version manually, as the workflow will automatically update the version number in the package.json file & push a commit to main.