Math Operations MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Math Operations MCP Servercalculate the area of a circle with radius 5"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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:
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 pydanticWith uv package manager:
# 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 pydanticRun the server
# run directly with python
python main.py
#with uv package manager
uv run main.pyWhat 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.tomlin the repository root and install listed packages manually.
README.md created with Generative AI.
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