
MCP fédéré
Cette implémentation suit la spécification MCP officielle, y compris le cadrage des messages approprié, la mise en œuvre de la couche de transport et la gestion complète du cycle de vie du protocole. Il fournit une base pour la construction de systèmes MCP fédérés qui peuvent évoluer sur plusieurs serveurs tout en maintenant les exigences de sécurité et de normalisation.
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AI Federation Network
A distributed runtime system for federated AI services with edge computing capabilities.
Complete implementation following the official MCP specification:
The Model Context Protocol (MCP) enables federated connections between AI systems and various data sources through a standardized architecture. Here’s a complete implementation following the official specification:
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 requirement
Model Context Protocol (MCP) with Federation Support
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 Nodejs version
complete implementation using both Deno and Node.js. Let's start with the project structure:
🌐 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.
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Reviews

user_H4sO5eZE
Federated-mcp by ruvnet is an outstanding tool for managing federated deployments. The integration is smooth and it supports multiple environments efficiently. As an avid MCP user, I've found this product to significantly enhance my workflows. Highly recommend checking it out on GitHub!