Click on "Install 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.
This server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.