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FastAPI SSE MCP Random

by hk4crprasad
GitHub
Python
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Integrations

  • Uses FastAPI to implement the Model Context Protocol server with Server-Sent Events for streaming communication

  • Connects to Azure OpenAI DALL-E 3 for image generation based on text prompts

  • Built with Python 3.10+ and includes various utility tools like random number generation, echo functionality, and AI podcast generation

FastAPI SSE MCP Random

A FastAPI server that implements the Model Context Protocol (MCP) using Server-Sent Events (SSE) for streaming communication. This project provides various utility tools including random number generation, image generation using Azure OpenAI DALL-E, and AI podcast generation.

Features

  • Server-Sent Events (SSE) for real-time streaming communication
  • Model Context Protocol (MCP) implementation for structured tool use
  • Multiple utility tools:
    • Echo tool and resources
    • Random number generator
    • Image generation via Azure OpenAI DALL-E 3
    • AI podcast generation
    • "Think tool" for reflective responses

Prerequisites

  • Python 3.10+
  • Azure OpenAI API access (for image generation)

Installation

  1. Clone the repository:
git clone <repository-url> cd fastapi_sse_mcp_random
  1. Install the dependencies:
pip install -r requirements.txt

Or using uv:

uv pip install -e .

Usage

Starting the server

Run the server with:

python main.py

The server will start at http://0.0.0.0:8000

Available Endpoints

  • GET /: Health check endpoint
  • GET /sse/: SSE connection endpoint
  • POST /messages/: Endpoint for client messages

Available Tools

Echo Tool
{ "name": "echo_tool", "parameters": { "message": "Hello, world!" } }
Random Number Generator
{ "name": "random_number", "parameters": { "min_value": 1, "max_value": 100 } }
Image Generation
{ "name": "generate_image", "parameters": { "prompt": "A beautiful landscape with mountains and a lake" } }
Podcast Generation
{ "name": "generate_podcast", "parameters": { "prompt": "The future of artificial intelligence", "duration": 5, "name1": "Mark", "voice1": "Thomas", "name2": "Sophia", "voice2": "Emily" } }
Think Tool
{ "name": "think_tool", "parameters": { "input": "What are the implications of quantum computing?" } }

Project Structure

  • main.py: Main FastAPI application and MCP tools implementation
  • sse.py: Server-Sent Events (SSE) implementation
  • pyproject.toml: Project metadata and dependencies
  • requirements.txt: Basic dependencies list

Dependencies

  • FastAPI: Web framework for building APIs
  • MCP: Model Context Protocol implementation
  • OpenAI: Client for Azure OpenAI services
  • Uvicorn: ASGI server for running FastAPI applications
  • Requests: HTTP library for API calls

License

[Specify your license here]

Contributing

[Instructions for contributing to the project]

This server cannot be installed

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quality - not tested

A FastAPI server implementing the Model Context Protocol (MCP) for structured tool use, providing utility tools including random number generation, image generation via Azure OpenAI DALL-E, and AI podcast generation.

  1. Features
    1. Prerequisites
      1. Installation
        1. Usage
          1. Starting the server
          2. Available Endpoints
          3. Available Tools
        2. Project Structure
          1. Dependencies
            1. License
              1. Contributing

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