@ruvnet
基本情報
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 maint
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"federated-mcp": {
"command": "deno",
"args": [
"run",
"--allow-net",
"--allow-env",
"--allow-read",
"--allow-write",
"--allow-run",
"src/apps/deno/server.ts"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
AI Federation Network is a distributed runtime system for federated AI services with edge computing capabilities. It implements the Model Context Protocol (MCP) to enable standardized, secure connections between AI systems and diverse data sources across organizational boundaries.
Run the server using deno run --allow-net --allow-env --allow-read --allow-write --allow-run src/apps/deno/server.ts. The system supports both local connections via stdio and remote connections via HTTP with Server-Sent Events, and includes a Federation Proxy layer for cross-server authentication.
MCP is a standardized protocol enabling federated connections between AI systems and various data sources. The federation layer allows AI systems to maintain context while moving between different tools and datasets across multiple servers.
A Federation Controller manages cross‑server communication, a Proxy Layer handles authentication between federated servers, and Identity Management controls access across federated instances. The system supports strict capability negotiation and user consent for security.
The implementation supports stdio for local process communication and HTTP with Server‑Sent Events (SSE) for remote connections. Additionally, the network layer includes JSON‑RPC 2.0, HTTP/REST, and WebSocket protocols.
Security includes federated authentication and authorization, cross‑server resource isolation, distributed consent management, encrypted cross‑server communication, and granular capability control. Provider‑specific authentication and secure credential storage are also supported.
The system includes complete implementations for both Deno and Node.js. The Deno server is started with the provided command; Node.js specifics are detailed in the project structure.
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