Skip to main content
Glama
akream

Python MCP Cat Facts

by akream

Python MCP Cat Facts

A FastAPI server that implements the Model Context Protocol (MCP) using Server-Sent Events (SSE) transport to provide cat facts.

Features

  • Get a single random cat fact

  • Subscribe to a stream of cat facts delivered every 10 seconds

  • SSE (Server-Sent Events) for real-time communication

  • FastAPI framework with automatic OpenAPI documentation

Related MCP server: Skemati.ca MCP SSE Server

Requirements

  • Python 3.12+

  • Dependencies:

    • fastapi

    • mcp[cli]

    • uvicorn

    • cmake

Installation

Clone the repository

git clone <repository-url>
cd python-mcp

Create a virtual environment

python -m venv venv
source venv/bin/activate  # On Windows, use: venv\Scripts\activate

Install dependencies

pip install -e .

Starting the Server in SSE Mode

Start the server using the uv run command:

uv run start

Once the server is running, it will be available at:

VS Code Integration

To use this MCP server with VS Code, you need to add the following configuration to your mcp.json file:

{
    "servers": {
        "mcp-sse": {
            "type": "sse",
            "url": "http://0.0.0.0:8000/sse"
        }
    }
}

This configuration tells VS Code how to connect to your MCP server using SSE transport.

Using the Cat Facts API

Get a single cat fact:

Connect to the SSE endpoint and request a single cat fact. The response will always start with "Hi!".

API Endpoints

  • GET /: Homepage

  • GET /about: Information about the application

  • GET /status: Current server status

  • GET /sse: SSE endpoint for MCP communication

  • GET /docs: API documentation (Swagger UI)

  • GET /redoc: Alternative API documentation (ReDoc)

License

MIT

F
license - not found
Not graded
quality - not tested
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    A Server-Sent Events implementation using FastAPI framework that integrates Model Context Protocol (MCP), allowing AI models to access external tools and data sources like weather information.
    51
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    A Model Context Protocol server implementation built with FastAPI that enables AI agent interactions. Provides a structured foundation for building AI-powered applications with proper data validation and modern Python tooling.
  • A
    license
    Not graded
    quality
    D
    maintenance
    A FastAPI MCP server that uses Server-Sent Events as a transport layer, providing echo functionality through tools, resources, and prompts.
    12
    MIT

View all related MCP servers

Related MCP Connectors

  • A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…

  • A Model Context Protocol server for Wix AI tools

  • AI Reasoning Cache & Consensus Layer with 11 MCP tools via Streamable HTTP.

View all MCP Connectors

Latest Blog Posts

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/akream/mcppython'

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