Master backend architectures, REST API design, microservices, and server-side development across multiple languages. Use this as a central index to access specialized sub-skills.
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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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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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.
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
Determine server configuration needs:
Transport Type
Framework Detection
Configuration Needs
Based on requirements, use templates from templates/:
Python Templates:
templates/python-http-server.py - FastAPI HTTP servertemplates/python-stdio-server.py - STDIO transporttemplates/python-sse-server.py - SSE streamingtemplates/python-websocket-server.py - WebSocket bidirectionalTypeScript Templates:
templates/typescript-http-server.ts - Express HTTP servertemplates/typescript-stdio-server.ts - STDIO transporttemplates/typescript-sse-server.ts - SSE streamingtemplates/typescript-websocket-server.ts - WebSocket bidirectionalApply configuration based on transport type:
HTTP Configuration:
# Python (FastAPI)
if __name__ == "__main__":
import uvicorn
uvicorn.run(
"main:app",
host="0.0.0.0",
port=8000,
reload=True
)
// TypeScript (Express)
const PORT = process.env.PORT || 8000;
app.listen(PORT, () => {
console.log(`Server running on port ${PORT}`);
});
STDIO Configuration:
# Python
mcp.run(transport="stdio")
// TypeScript
server.connect(new StdioServerTransport());
SSE Configuration:
# Python
@app.get("/events")
async def events():
return EventSourceResponse(event_generator())
WebSocket Configuration:
# Python
@app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
await websocket.accept()
For HTTP/SSE/WebSocket servers:
# Python
from fastapi.middleware.cors import CORSMiddleware
app.add_middleware(
CORSMiddleware,
allow_origins=["*"], # Configure appropriately
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
// TypeScript
import cors from 'cors';
app.use(cors({
origin: process.env.ALLOWED_ORIGINS?.split(',') || '*',
credentials: true
}));
Create .env.example with placeholders:
# 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
Run validation script:
bash scripts/validate-config.sh <server-file>
Checks:
scripts/validate-config.sh - Validate server configurationscripts/generate-server.sh - Generate server from templatescripts/test-transport.sh - Test transport connectivityPython:
templates/python-http-server.py - HTTP server with FastAPItemplates/python-stdio-server.py - STDIO transporttemplates/python-sse-server.py - SSE streaming servertemplates/python-websocket-server.py - WebSocket serverTypeScript:
templates/typescript-http-server.ts - HTTP server with Expresstemplates/typescript-stdio-server.ts - STDIO transporttemplates/typescript-sse-server.ts - SSE streaming servertemplates/typescript-websocket-server.ts - WebSocket serverexamples/http-fastapi-example.md - Complete HTTP server with FastAPIexamples/stdio-simple-example.md - Basic STDIO serverexamples/sse-streaming-example.md - SSE streaming configurationexamples/websocket-bidirectional-example.md - WebSocket bidirectional communicationSetting up HTTP server for remote A2A communication
Configuring STDIO for local agent communication
Implementing SSE for real-time agent updates
Setting up WebSocket for bidirectional agent chat
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Master backend architectures, REST API design, microservices, and server-side development across multiple languages. Use this as a central index to access specialized sub-skills.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
在每次回复中使用固定前缀并列出本次实际参考的指令/文件,便于校验是否遵循上下文与规则。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Automate 2chat tasks via Rube MCP (Composio). Always search tools first for current schemas.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
[00] META. Orchestrate skills into dynamic chains for complex tasks. Analyzes the task, discovers available skills, builds an optimal chain, explains why each skill is needed, and executes step-by-step with user confirmation. Use for any complex task requiring multiple thinking/research/analysis steps. Triggers on "plan this", "how to approach", "what's the strategy", "build a plan", or any multi-step problem requiring skill orchestration.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.