This project provides a hands-on learning environment for experimenting with Model Context Protocol (MCP) servers and clients.
From the registry: MCP server that can perform basic arithmetic operations and parse/evaluate arithmetic expressions.
Please install the `mcp-learning` MCP server into my current AI client (that's you).
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["mcp-learning"]
Note: Learning/demo MCP project. Published on PyPI as mcp-learning. README does not include detailed env vars; see docs/configurations/mcp-server.md for full config.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.