FastAPI SSE MCP aleatorio

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

Clone the repository:

git clone <repository-url>
cd fastapi_sse_mcp_random

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

security - not tested

license - not found

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Un servidor FastAPI que implementa el Protocolo de contexto de modelo (MCP) para el uso de herramientas estructuradas, que proporciona herramientas de utilidad que incluyen generación de números aleatorios, generación de imágenes a través de Azure OpenAI DALL-E y generación de podcasts de IA.

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