MCPhoenix

MCPhoenix

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MCPheonix is a Model Context Protocol server that facilitates AI model interactions with application data through a robust, self-healing architecture. It leverages the Elixir Phoenix Framework and Cloudflare for real-time, distributed processing, making it a resilient solution for AI-driven applications.

MCPheonix

A simplified implementation of the Model Context Protocol (MCP) server using Elixir's Phoenix Framework.

Overview

MCPheonix is an intelligent, self-healing, distributed AI event system using Model Context Protocol and Elixir's Phoenix Framework. It provides a server that implements the Model Context Protocol, allowing AI models to interact with your application data and functionality through a unified interface.

Features

  • Server-Sent Events (SSE) stream for real-time notifications
  • JSON-RPC endpoint for client requests
  • Simple resource system
  • Event publish/subscribe mechanism
  • Basic tool invocation
  • Flux image generation integration
  • Dart task management integration
  • Extensible MCP server architecture
  • Self-healing distributed architecture via Cloudflare Durable Objects
  • Edge computing capabilities through Cloudflare Workers

Self-Healing Distributed Architecture

MCPheonix implements a sophisticated self-healing system through its integration with Cloudflare Durable Objects and Workers, creating a distributed, resilient architecture that can withstand failures and ensure continuous operation.

Key Components

  • Durable Objects: Stateful serverless components running on Cloudflare's global edge network that maintain consistency even across failures.
  • Edge Distribution: Critical application state is replicated across Cloudflare's global network, ensuring availability even during regional outages.
  • Automatic Recovery: If an instance becomes unavailable, the system automatically recreates it with consistent state from durable storage.
  • Real-time Communication: WebSocket support enables instant recovery coordination and state synchronization across the distributed system.
  • Event-Driven Architecture: Components react to state changes through a publish/subscribe model, allowing the system to self-heal and adapt to failures.

For detailed information on the implementation, see the documentation.

Getting Started

Prerequisites

  • Elixir 1.14 or higher
  • Erlang 25 or higher
  • Phoenix 1.7.0 or higher
  • Python 3.9+ (for Flux and Dart integration)
  • Node.js 18+ (for Dart MCP server)
  • Cloudflare account (for Durable Objects integration)

Installation

  1. Clone the repository
git clone https://github.com/yourusername/mcpheonix.git
cd mcpheonix
  1. Install dependencies
mix deps.get
  1. Configure the Cloudflare integration

    • Create a Cloudflare Worker using the template in cloudflare/durable-objects-worker.js
    • Deploy it to your Cloudflare account
    • Set the environment variables:
      • CLOUDFLARE_WORKER_URL: URL of your deployed worker
      • CLOUDFLARE_ACCOUNT_ID: Your Cloudflare account ID
      • CLOUDFLARE_API_TOKEN: API token with Workers and DO permissions
  2. Configure the Flux integration (if using image generation)

    • Set up the Flux CLI environment as described in the section
  3. Configure the Dart integration (if using task management)

    • Set up the Dart MCP server as described in the section
  4. Start the server

mix phx.server

The server will be available at http://localhost:4001.

Adding Custom MCP Servers

MCPheonix is designed to work with multiple MCP servers. This system includes a flexible infrastructure for integrating custom MCP servers through:

  1. Simple JSON Configuration: Define your server settings in priv/config/mcp_servers.json:
{
  "mcpServers": {
    "your_server_id": {
      "command": "/path/to/executable",
      "args": ["arg1", "arg2"],
      "env": {
        "ENV_VAR1": "value1",
        "ENV_VAR2": "value2"
      },
      "tools": {
        "your_tool": {
          "description": "Description of your tool",
          "parameters": [
            { "name": "param1", "type": "string", "description": "Parameter description" }
          ]
        }
      }
    }
  }
}
  1. Automatic Server Management: Servers are automatically loaded and managed during application startup.

For comprehensive implementation details, including the Elixir architecture, server lifecycle management, and protocol handling, see the documentation.

MCP Endpoints

  • SSE Stream: GET /mcp/stream

    • Establishes a Server-Sent Events stream for receiving real-time notifications
    • Returns a client ID in the response headers
  • JSON-RPC: POST /mcp/rpc

    • Accepts JSON-RPC 2.0 requests
    • Client ID can be provided in the x-mcp-client-id header or will be generated if missing

Built-in Capabilities

Resources