Math MCP Server
Uses Pydantic-AI framework to build the math agent with structured data validation and AI model integration
Implements mathematical computation tools including basic arithmetic operations (add, subtract, multiply, divide), power, and logarithm functions through MCP protocol
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 MCP Servercalculate 15% of 250"
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.
MathAgent
A minimal math agent that delegates all calculations to an MCP (Model Context Protocol) server. The agent uses MCP tools for every operation—no mental math—so you get consistent, inspectable results.
What’s inside
Agent: built with pydantic-ai, connected via MCP stdio
MCP Server: powered by fastmcp, exposing math tools
Available MCP tools
add
subtract
multiply
divide
power
log
Coming soon:
modulus
Related MCP server: Math MCP Server
Requirements
Python 3.13+
uv (Python package/dependency manager)
A Groq API key (for the LLM model)
A Logfire token (for instrumentation)
Setup
Clone the repository
Create your environment file
Set these keys:
groq_key— your Groq API keylogfire_key— your Logfire token
Run the agent
Run with uv so dependencies are resolved and the MCP server is launched as a toolset:
uv run agent.pyNotes:
The agent is configured to use the Groq model
qwen/qwen3-32b(seeagent.py). You can swap models as needed.The agent will reject non-math questions by design.
All calculations route through the MCP tools defined in
mcp-server.py.
Contributing
Contributions are welcome—feel free to open issues or submit pull requests.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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