Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-autonomous-agent-fabric List all available sandboxed tools."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
PhD-Grade Model Context Protocol (MCP) Autonomous Agent Fabric: Distributed Cluster Sentinel, DAG Tool Execution Planner, Streaming SSE Multiplexers & Distributed Mesh Routers
Engineered with precision by anderdebona
This project implements an enterprise Model Context Protocol (MCP) autonomous agent fabric. It enables seamless inter-agent collaboration via bi-directional streaming SSE transports, zero-shot multi-hop tool synthesis graphs, dynamic capability negotiation, and deterministic AST policy interception.
Related MCP server: production-grade-mcp-agentic-system
🌊 StreamingSSETransport: High-throughput chunked SSE multiplexing with backpressure and sequence IDs.
🧩 SemanticToolSynthesizer: Multi-hop directed acyclic graph (DAG) tool synthesis and topological parameter routing.
📡 Studio v5.0.0: Real-time Swarm Radar, multi-hop pipeline traces, and policy governor sandbox.
🧪 23/23 Tests Passing: 100% Vitest coverage for MCP JSON-RPC, SSE streaming, routing, and governance.
git clone https://github.com/anderdebona/mcp-autonomous-agent-fabric.git
cd mcp-autonomous-agent-fabric
npm install
npm test
npm run build
npm start
# Open http://localhost:3008MIT License © 2026 anderdebona. See CITATION.cff for academic attribution.
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