MCPhoenix
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.
What is the primary purpose of MCPheonix?
MCPheonix is designed to provide a distributed, self-healing AI event system that allows AI models to interact with application data and functionality through a unified interface.
How does MCPheonix ensure system resilience?
MCPheonix uses Cloudflare Durable Objects and Workers to create a distributed architecture that can automatically recover from failures and maintain consistent state across the network.
What are the prerequisites for installing MCPheonix?
You need Elixir 1.14+, Erlang 25+, Phoenix 1.7.0+, Python 3.9+, Node.js 18+, and a Cloudflare account for Durable Objects integration.
Can I integrate custom MCP servers with MCPheonix?
Yes, MCPheonix supports integration of custom MCP servers through a simple JSON configuration and automatic server management.
What protocols does MCPheonix support for client communication?
MCPheonix supports Server-Sent Events (SSE) for real-time notifications and JSON-RPC for client requests.