Skip to main content
Glama

Math Operations MCP Server

README.md1.36 kB
# math-operations-mcp Short instructions to install dependencies and run the project. Prerequisites - Python 3.11+ (project pyproject requires >=3.11; use your system Python or a virtualenv) Create a virtual environment and install dependencies With python: ```bash python -m venv .venv source .venv/bin/activate pip install --upgrade pip pip install -e . # If the project has no local installable package, install the runtime deps directly: # pip install fastapi uvicorn pydantic ``` With uv package manager: ```bash # install uv if needed pip install uv # create (and usually activate) a virtual environment uv venv # If uv does not activate the venv automatically, activate it manually: # Linux/WSL: source .venv/bin/activate # upgrade pip and install the project uv sync # If the project has no local installable package, install runtime deps directly: # pip install fastapi uvicorn pydantic ``` Run the server ```bash # run directly with python python main.py #with uv package manager uv run main.py ``` What to expect - The API root will be available at http://localhost:8000/ - The MCP endpoint is mounted at /math/mcp/ (see `main.py`) and a streaming HTTP app at /math/ Notes - If you run into dependency issues, check the `pyproject.toml` in the repository root and install listed packages manually. README.md created with Generative AI.

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/FloorIsGround/math-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server