Multi-Component System with A2A and MCP Server Integration
About
An agent playground (without authentication) in a single repo for fastest turn around cycles during experiments.
Details
- Author
- BulloRosso
- Downloads
- 340
- Categories
- Other, AI
Jump to
- React/TypeScript frontend with Material-UI and Zustand state management
- Python/FastAPI backend with health check and API documentation
- Node.js reverse proxy routing requests to appropriate services
- A2A server enabling agent-to-agent task and message exchange
- MCP server providing tools, resources, and prompts with SSE support
- WebSocket support for real-time communication
Install prerequisites (Node.js 20+, Python 3.11+, npm or yarn). Run each service in its own process: API Backend (cd api; pip install -r requirements.txt; python main.py), Frontend (cd frontend; npm install; npm run dev), Proxy Server (node proxy-server.js), A2A Server (cd a2a-server; node simple-server.js), and MCP Server (cd mcp-server; pip install -r requirements.txt; python mcp_server.py). Integration tests are available in the tests directory.
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
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
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