AI Federation Network

Created at 2 months ago

by ruvnet

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This implementation follows the official MCP specification, including proper message framing, transport layer implementation, and complete protocol lifecycle management. It provides a foundation for building federated MCP systems that can scale across multiple servers while maintaining security and standardization requirements.

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AI Federation Network

What is the AI Federation Network?

The AI Federation Network is a distributed runtime system designed for federated AI services with capabilities for edge computing and follows the Model Context Protocol (MCP). It enables standardized communication between AI systems and various data sources, ensuring security and context maintenance across federated environments.

How to use the AI Federation Network?

To use the AI Federation Network, you can run the server using Deno with the following command: deno run --allow-net --allow-env --allow-read --allow-write --allow-run src/apps/deno/server.ts.

Key features of the AI Federation Network?

  • Complete implementation of the Model Context Protocol (MCP)
  • Secure federated authentication and authorization
  • Support for both local and remote connections
  • Cross-server resource isolation and consent management
  • Real-time monitoring and scaling capabilities

Use cases of the AI Federation Network?

  1. Integrating development tools with federated code repositories.
  2. Enabling enterprise systems to access distributed databases securely.
  3. Supporting cross-organizational content repositories and multi-region business tool integration.

FAQ from the AI Federation Network?

  • What is the Model Context Protocol (MCP)?

The MCP is a standard that facilitates federated connections between AI systems with a focus on security and context preservation.

  • Can I use this project without extensive knowledge of AI?

Yes, the project is designed to be integrated with existing tools and does not require deep AI expertise to utilize its features.

  • Is it secure to run federated AI services using this framework?

Yes, the initiative includes multiple security features including cross-server isolation, encrypted communication, and granular access control.

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