📌Overview

Purpose: To provide a distributed runtime system for federated AI services with robust edge computing capabilities.

Overview: The AI Federation Network is designed to implement the Model Context Protocol (MCP) for efficient federated AI service integration. It establishes a standardized architecture enabling AI systems to utilize varied data sources while ensuring secure and context-aware interactions across multiple servers.

Key Features:

Federation Controller: Manages communication between different MCP servers, facilitating seamless data access across federated AI applications.
Proxy Layer: Ensures secure authentication between federated servers, enhancing trust and security within the network.
Multi-Transport Support: Enables both local and remote connections through various protocols (stdio, HTTP with Server-Sent Events), ensuring flexibility in how AI systems connect and communicate.
Security Framework: Implements comprehensive security measures, including federated authentication, encrypted communication, and capability negotiation to protect data and access.

AI Federation Network

A distributed runtime system for federated AI services with edge computing capabilities.

Model Context Protocol (MCP) with Federation Support

The Model Context Protocol (MCP) enables federated connections between AI systems and various data sources through a standardized architecture.

This implementation provides a foundation for building federated MCP systems that can scale across multiple servers while maintaining the protocol’s security and standardization requirements. The federation layer enables seamless communication between different MCP servers, allowing AI systems to maintain context while moving between different tools and datasets.

The implementation supports both local and remote connections through multiple transport mechanisms, including stdio for local process communication and HTTP with Server-Sent Events for remote connections.

Security is maintained through strict capability negotiation and user consent requirements.

Key Benefits

Simplified Integration:

Eliminates custom connections for each data source
Standardizes AI connections with enterprise tools
Maintains context across federated tools and datasets

Federation Architecture

Core Components:

Federation Controller: Manages cross-server communication
Proxy Layer: Handles authentication between federated servers
Identity Management: Controls access across federated instances

Basic Structure

System Components:

MCP Hosts: AI applications needing federated data access
MCP Servers: Programs providing federated resource access
MCP Clients: Components maintaining federated connections
Federation Proxy: Manages cross-server authentication

Real-World Applications

Implementation Areas:

Development tools with federated code repositories
Enterprise systems with distributed databases
Cross-organizational content repositories
Multi-region business tool integration

Security Features

Protection Mechanisms:

Federated authentication and authorization
Cross-server resource isolation
Distributed consent management
Encrypted cross-server communication
Granular capability control

MCP with federation support enables secure, standardized AI system integration across organizational boundaries while maintaining strict security controls and seamless data access.

Deno and Node.js Version

Complete implementation using both Deno and Node.js.

Network Protocols

JSON-RPC 2.0
HTTP/REST
WebSocket

Edge Computing

Multi-provider support (Supabase, Cloudflare Workers, Fly.io)
Serverless function deployment
Real-time logs and monitoring
Auto-scaling capabilities

Security

Provider-specific authentication
Secure credential storage
Environment isolation
Access control

Runtime Features

Task execution
Federation support
Intent detection
Meeting information processing
Webhook handling
Real-time status monitoring
System health checks

System Architecture

graph TD
    A[AI Federation Network] --> B[Core Runtime]
    B --> C[Edge Computing]
    B --> D[Network Layer]
    B --> E[Security]
    
    C --> F[Supabase]
    C --> G[Cloudflare]
    C --> H[Fly.io]
    
    D --> I[JSON-RPC]
    D --> J[HTTP/REST]
    D --> K[WebSocket]
    
    E --> L[Auth]
    E --> M[Credentials]
    E --> N[Access Control]

Getting Started

# Run the server
deno run --allow-net --allow-env --allow-read --allow-write --allow-run src/apps/deno/server.ts

License

MIT License - See LICENSE file for details.

federated-mcp