Agent skill

a2a-server-config

Agent-to-Agent (A2A) server configuration patterns for HTTP, STDIO, SSE, and WebSocket transports. Use when building A2A servers, configuring MCP transports, setting up server endpoints, or when user mentions A2A configuration, server transport, MCP server setup, or agent communication protocols.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/development/a2a-server-config

SKILL.md

A2A Server Configuration

Provides complete patterns and templates for configuring Agent-to-Agent (A2A) servers with different transport mechanisms (HTTP, STDIO, SSE, WebSocket) following MCP (Model Context Protocol) standards.

Security: API Key Handling

CRITICAL: When generating any configuration files or code:

  • NEVER hardcode actual API keys or secrets

  • NEVER include real credentials in examples

  • NEVER commit sensitive values to git

  • ALWAYS use placeholders: your_service_key_here

  • ALWAYS create .env.example with placeholders only

  • ALWAYS add .env* to .gitignore (except .env.example)

  • ALWAYS read from environment variables in code

  • ALWAYS document where to obtain keys

Placeholder format: {service}_{env}_your_key_here

Instructions

Phase 1: Analyze Requirements

Determine server configuration needs:

  1. Transport Type

    • HTTP: Remote access, REST-like communication, CORS support
    • STDIO: Local process communication, pipe-based I/O
    • SSE (Server-Sent Events): Real-time streaming, one-way server push
    • WebSocket: Bidirectional real-time communication
  2. Framework Detection

    • Python: FastAPI, Flask, Starlette
    • TypeScript: Express, Fastify, Node.js native http
    • Detect from package.json or requirements.txt
  3. Configuration Needs

    • Port and host settings
    • CORS configuration
    • Authentication requirements
    • Environment variables

Phase 2: Select and Load Templates

Based on requirements, use templates from templates/:

Python Templates:

  • templates/python-http-server.py - FastAPI HTTP server
  • templates/python-stdio-server.py - STDIO transport
  • templates/python-sse-server.py - SSE streaming
  • templates/python-websocket-server.py - WebSocket bidirectional

TypeScript Templates:

  • templates/typescript-http-server.ts - Express HTTP server
  • templates/typescript-stdio-server.ts - STDIO transport
  • templates/typescript-sse-server.ts - SSE streaming
  • templates/typescript-websocket-server.ts - WebSocket bidirectional

Phase 3: Configure Transport

Apply configuration based on transport type:

HTTP Configuration:

python
# Python (FastAPI)
if __name__ == "__main__":
    import uvicorn
    uvicorn.run(
        "main:app",
        host="0.0.0.0",
        port=8000,
        reload=True
    )
typescript
// TypeScript (Express)
const PORT = process.env.PORT || 8000;
app.listen(PORT, () => {
  console.log(`Server running on port ${PORT}`);
});

STDIO Configuration:

python
# Python
mcp.run(transport="stdio")
typescript
// TypeScript
server.connect(new StdioServerTransport());

SSE Configuration:

python
# Python
@app.get("/events")
async def events():
    return EventSourceResponse(event_generator())

WebSocket Configuration:

python
# Python
@app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
    await websocket.accept()

Phase 4: Add CORS and Security

For HTTP/SSE/WebSocket servers:

python
# Python
from fastapi.middleware.cors import CORSMiddleware

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],  # Configure appropriately
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)
typescript
// TypeScript
import cors from 'cors';
app.use(cors({
  origin: process.env.ALLOWED_ORIGINS?.split(',') || '*',
  credentials: true
}));

Phase 5: Environment Configuration

Create .env.example with placeholders:

bash
# Server Configuration
PORT=8000
HOST=0.0.0.0
ALLOWED_ORIGINS=http://localhost:3000,http://localhost:5173

# API Keys (NEVER commit real values)
ANTHROPIC_API_KEY=your_anthropic_key_here
OPENAI_API_KEY=your_openai_key_here

# Transport Settings
TRANSPORT_TYPE=http
ENABLE_CORS=true

Phase 6: Validation

Run validation script:

bash
bash scripts/validate-config.sh <server-file>

Checks:

  • No hardcoded API keys
  • Environment variable usage
  • CORS configuration
  • Transport setup validity
  • .gitignore includes .env files

Scripts

  • scripts/validate-config.sh - Validate server configuration
  • scripts/generate-server.sh - Generate server from template
  • scripts/test-transport.sh - Test transport connectivity

Templates

Python:

  • templates/python-http-server.py - HTTP server with FastAPI
  • templates/python-stdio-server.py - STDIO transport
  • templates/python-sse-server.py - SSE streaming server
  • templates/python-websocket-server.py - WebSocket server

TypeScript:

  • templates/typescript-http-server.ts - HTTP server with Express
  • templates/typescript-stdio-server.ts - STDIO transport
  • templates/typescript-sse-server.ts - SSE streaming server
  • templates/typescript-websocket-server.ts - WebSocket server

Examples

  • examples/http-fastapi-example.md - Complete HTTP server with FastAPI
  • examples/stdio-simple-example.md - Basic STDIO server
  • examples/sse-streaming-example.md - SSE streaming configuration
  • examples/websocket-bidirectional-example.md - WebSocket bidirectional communication

Requirements

  • Framework-specific dependencies (FastAPI/Express/etc.)
  • CORS middleware for HTTP/SSE/WebSocket
  • Environment variable management (python-dotenv/dotenv)
  • No hardcoded API keys or secrets
  • .gitignore protection for sensitive files

Use Cases

  1. Setting up HTTP server for remote A2A communication

    • Load http template
    • Configure CORS
    • Set environment variables
    • Validate configuration
  2. Configuring STDIO for local agent communication

    • Load stdio template
    • Configure process pipes
    • Test connectivity
  3. Implementing SSE for real-time agent updates

    • Load sse template
    • Configure event streams
    • Set up CORS
    • Test streaming
  4. Setting up WebSocket for bidirectional agent chat

    • Load websocket template
    • Configure connection handling
    • Set up authentication
    • Test bidirectional flow

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