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Agentum

by BulloRosso

Agentum is a scalable, multi-component system designed for agent-to-agent (A2A) communication and interaction with large language models (LLMs) through the Anthropic Model Context Protocol (MCP). It provides a comprehensive framework for building and deploying AI agents with tools, resources, and real-time updates.

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Multi-Component System with A2A and MCP Server Integration

This project is a scalable, multi-component system built with modern web technologies.

Architecture Overview

The system consists of several decoupled components that work together:

  1. Frontend: React/TypeScript application with Material-UI, built using Vite
  2. Backend API: Python/FastAPI service providing API endpoints
  3. Proxy Server: Node.js proxy that routes requests to the appropriate services
  4. A2A Server: Agent-to-Agent server implementation following the Google A2A protocol
  5. MCP Server: Anthropic Model Context Protocol server providing tools, resources, and prompts

Architecture Diagram

Architecture Diagram

Components

Frontend

  • Modern React application with TypeScript
  • Material-UI for component styling
  • State management with Zustand
  • Responsive dashboard UI
  • Client implementations for both A2A and MCP protocols

Backend API

  • FastAPI (Python) backend
  • Health check endpoints
  • API documentation with Redoc at /api/doc
  • API methods listing at /api/api/v1/methods

Proxy Server

  • Node.js-based reverse proxy
  • Routes requests to appropriate services:
    • Frontend requests → Vite development server
    • API requests → FastAPI backend
    • A2A requests → A2A server
    • MCP/SSE requests → MCP server
  • WebSocket support for real-time communication

A2A Server

  • Implementation of the Google A2A protocol
  • Enables agent-to-agent communication
  • Provides task management and messaging capabilities
  • Supports both direct requests and streaming updates

MCP Server (Python)

  • Python/FastAPI implementation of the Anthropic Model Context Protocol
  • Provides tools, resources, and prompts for agents
  • Supports Server-Sent Events (SSE) for real-time updates
  • Dual path structure (/endpoint and /sse/endpoint)

Server Integrations

A2A Server Integration

The A2A server is integrated with the main application via the proxy server. Requests to the following endpoints are routed to the A2A server:

  • /.well-known/agent.json: Agent information and capabilities
  • /tasks: Task management endpoint for JSON-RPC requests
  • /agent-card/*: All requests to this path (any HTTP method) are routed to the A2A server

See the A2A server documentation for more details on implementation and usage.

MCP Server Integration

The MCP (Anthropic Model Context Protocol) server is integrated with the main application via the proxy server. Requests to the following endpoints are routed to the MCP server:

  • /sse/*: All SSE endpoints (status, tools, resources, prompts)
  • /sse: The SSE event stream endpoint

The MCP server provides:

  • Tools API: Functions that can be called to perform actions
  • Resources API: Static files and data that can be downloaded
  • Prompts API: Templates for generating LLM prompts
  • Server-Sent Events (SSE): Real-time updates and streaming

See the MCP server documentation and MCP client documentation for more details.

Development

Prerequisites

  • Node.js 20+
  • Python 3.11+
  • npm or yarn

Running the Application

The application is divided into multiple services, each running in its own process:

  1. API Backend:

    cd api
    pip install -r requirements.txt
    python main.py
    
  2. Frontend Development Server:

    cd frontend
    npm install
    npm run dev
    
  3. Proxy Server:

    node proxy-server.js
    
  4. A2A Server:

    cd a2a-server
    node simple-server.js  # JavaScript implementation
    # or for TypeScript implementation (if compiled)
    # node dist/main.js
    
  5. MCP Server:

    cd mcp-server
    pip install -r requirements.txt
    python mcp_server.py
    

Running Tests

Integration tests are available for the A2A server:

cd tests
node run-tests.js  # Runs all A2A server tests

API Endpoints

Backend API

  • GET /health: Health check endpoint
  • GET /api/v1/methods: List of available API methods
  • GET /api/doc: API documentation (Redoc)

A2A Server

  • GET /.well-known/agent.json: Agent card information
  • POST /tasks: JSON-RPC endpoint for task operations:
    • tasks/send: Send a message to the agent
    • tasks/sendSubscribe: Send a message with streaming updates
    • tasks/get: Get task information by ID
    • tasks/cancel: Cancel a running task

MCP Server

  • GET /status or GET /sse/status: Server status and available resources
  • GET /tools or GET /sse/tools: List of available tools
  • POST /tools/{name} or POST /sse/tools/{name}: Execute a tool
  • GET /resources or GET /sse/resources: List of available resources
  • GET /resources/{name} or GET /sse/resources/{name}: Get a specific resource
  • GET /prompts or GET /sse/prompts: List of available prompt templates
  • POST /prompts/{name} or POST /sse/prompts/{name}: Generate a prompt
  • GET /sse: Server-Sent Events (SSE) connection for real-time updates