implement-a2a-server
정보
이 스킬은 A2A 프로토콜을 위한 JSON-RPC 2.0 서버를 구현하며, 제출됨, 작업 중, 완료됨과 같은 상태를 포함한 전체 작업 생명주기 관리를 제공합니다. 실시간 업데이트를 위해 SSE 스트리밍과 푸시 알림 기능을 포함하고 있습니다. 멀티 에이전트 워크플로우용 에이전트 구축, 에이전트 카드용 백엔드 생성, 또는 기존 서비스에 A2A 상호 운용성을 추가할 때 사용하세요.
빠른 설치
Claude Code
추천npx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/implement-a2a-serverClaude Code에서 이 명령을 복사하여 붙여넣어 스킬을 설치하세요
문서
Implement A2A Server
Build fully compliant A2A server. Handles JSON-RPC 2.0 requests, manages task lifecycle states, supports SSE streaming for real-time updates, serves Agent Card for discovery.
When Use
- Implement agent that participates in multi-agent A2A workflows
- Build backend for Agent Card designed with
design-a2a-agent-card - Add A2A protocol support to existing agent or service
- Create reference A2A server implementation for testing
- Deploy agent that must interoperate with other A2A-compliant agents
Inputs
- Required: Agent Card (JSON) defining agent skills + capabilities
- Required: Implementation language (TypeScript/Node.js or Python)
- Required: Task execution logic for each skill defined in Agent Card
- Optional: Push notification webhook support (
trueorfalse) - Optional: Persistent task store (in-memory, Redis, PostgreSQL)
- Optional: Authentication middleware matching Agent Card auth scheme
- Optional: Maximum concurrent tasks limit
Steps
Step 1: Set Up Project with JSON-RPC 2.0 Handler
1.1. Initialize project with HTTP server + JSON-RPC parsing:
TypeScript:
mkdir -p $PROJECT_NAME && cd $PROJECT_NAME
npm init -y
npm install express uuid
npm install -D typescript @types/node @types/express tsx
Python:
mkdir -p $PROJECT_NAME && cd $PROJECT_NAME
python -m venv .venv && source .venv/bin/activate
pip install fastapi uvicorn uuid6
1.2. Make JSON-RPC 2.0 request handler:
interface JsonRpcRequest {
jsonrpc: "2.0";
id: string | number;
method: string;
params?: Record<string, unknown>;
}
interface JsonRpcResponse {
jsonrpc: "2.0";
id: string | number;
result?: unknown;
error?: { code: number; message: string; data?: unknown };
}
function handleJsonRpc(request: JsonRpcRequest): JsonRpcResponse {
switch (request.method) {
case "tasks/send":
return handleTaskSend(request);
case "tasks/get":
return handleTaskGet(request);
case "tasks/cancel":
return handleTaskCancel(request);
case "tasks/sendSubscribe":
// Handled separately via SSE
throw new Error("Use SSE endpoint for sendSubscribe");
default:
return {
jsonrpc: "2.0",
id: request.id,
error: { code: -32601, message: `Method not found: ${request.method}` },
};
}
}
1.3. Mount JSON-RPC handler on POST endpoint (typically /):
app.post("/", (req, res) => {
const response = handleJsonRpc(req.body);
res.json(response);
});
1.4. Serve Agent Card at /.well-known/agent.json:
app.get("/.well-known/agent.json", (req, res) => {
res.json(agentCard);
});
Got: HTTP server accepts JSON-RPC 2.0 requests + serves Agent Card.
If fail: JSON-RPC parsing fails? Validate request body has jsonrpc, method, id fields. Return -32700 (Parse error) for malformed JSON + -32600 (Invalid Request) for missing required fields.
Step 2: Implement Task State Machine
2.1. Define task model with all A2A lifecycle states:
type TaskState =
| "submitted"
| "working"
| "input-required"
| "completed"
| "failed"
| "canceled";
interface Task {
id: string;
sessionId: string;
status: {
state: TaskState;
message?: Message;
timestamp: string;
};
history?: TaskStatus[];
artifacts?: Artifact[];
metadata?: Record<string, unknown>;
}
interface Message {
role: "user" | "agent";
parts: Part[];
}
type Part =
| { type: "text"; text: string }
| { type: "file"; file: { name: string; mimeType: string; bytes?: string; uri?: string } }
| { type: "data"; data: Record<string, unknown> };
2.2. Implement state transition rules:
submitted -> working | failed | canceled
working -> completed | failed | canceled | input-required
input-required -> working | failed | canceled
completed -> (terminal)
failed -> (terminal)
canceled -> (terminal)
2.3. Create task store with CRUD operations:
class TaskStore {
private tasks: Map<string, Task> = new Map();
create(sessionId: string, message: Message): Task { ... }
get(taskId: string): Task | undefined { ... }
updateStatus(taskId: string, state: TaskState, message?: Message): Task { ... }
addArtifact(taskId: string, artifact: Artifact): void { ... }
cancel(taskId: string): Task { ... }
}
2.4. stateTransitionHistory enabled in Agent Card? Append each status change to task's history array with timestamps.
Got: Task store enforces valid state transitions + maintains history.
If fail: Invalid state transition attempted (completed to working)? Return JSON-RPC error code -32002 + descriptive message. Never silently ignore invalid transitions.
Step 3: Add tasks/send + tasks/get Methods
3.1. Implement tasks/send — primary method for submitting tasks:
function handleTaskSend(request: JsonRpcRequest): JsonRpcResponse {
const { id: taskId, sessionId, message } = request.params as TaskSendParams;
// Create or resume task
let task = taskStore.get(taskId);
if (!task) {
task = taskStore.create(sessionId, message);
} else if (task.status.state === "input-required") {
taskStore.updateStatus(task.id, "working");
}
// Route to skill handler based on message content
const skill = matchSkill(message);
if (!skill) {
taskStore.updateStatus(task.id, "failed", {
role: "agent",
parts: [{ type: "text", text: "No matching skill for this request." }],
});
return { jsonrpc: "2.0", id: request.id, result: taskStore.get(task.id) };
}
// Execute skill (async — task will transition to working, then completed/failed)
executeSkill(skill, task, message).catch((error) => {
taskStore.updateStatus(task.id, "failed", {
role: "agent",
parts: [{ type: "text", text: error.message }],
});
});
return { jsonrpc: "2.0", id: request.id, result: taskStore.get(task.id) };
}
3.2. Implement tasks/get — retrieve task status + artifacts:
function handleTaskGet(request: JsonRpcRequest): JsonRpcResponse {
const { id: taskId, historyLength } = request.params as TaskGetParams;
const task = taskStore.get(taskId);
if (!task) {
return {
jsonrpc: "2.0",
id: request.id,
error: { code: -32001, message: `Task not found: ${taskId}` },
};
}
// Optionally trim history to requested length
const result = historyLength !== undefined
? { ...task, history: task.history?.slice(-historyLength) }
: task;
return { jsonrpc: "2.0", id: request.id, result };
}
3.3. Implement tasks/cancel:
function handleTaskCancel(request: JsonRpcRequest): JsonRpcResponse {
const { id: taskId } = request.params as TaskCancelParams;
try {
const task = taskStore.cancel(taskId);
return { jsonrpc: "2.0", id: request.id, result: task };
} catch (error) {
return {
jsonrpc: "2.0",
id: request.id,
error: { code: -32002, message: (error as Error).message },
};
}
}
Got: Working tasks/send, tasks/get, tasks/cancel methods correctly manage task lifecycle.
If fail: Skill matching fails? Return task in failed state with descriptive message. Task store full → return -32003 (resource exhausted).
Step 4: Implement SSE Streaming for tasks/sendSubscribe
4.1. Make SSE endpoint for streaming task updates:
app.post("/subscribe", (req, res) => {
const request = req.body as JsonRpcRequest;
if (request.method !== "tasks/sendSubscribe") {
res.status(400).json({ error: "Only tasks/sendSubscribe supported" });
return;
}
// Set SSE headers
res.setHeader("Content-Type", "text/event-stream");
res.setHeader("Cache-Control", "no-cache");
res.setHeader("Connection", "keep-alive");
const { id: taskId, sessionId, message } = request.params as TaskSendParams;
let task = taskStore.get(taskId) ?? taskStore.create(sessionId, message);
// Send initial status
sendSSEEvent(res, "status", {
id: request.id,
result: { id: task.id, status: task.status },
});
// Subscribe to task updates
const unsubscribe = taskStore.onUpdate(task.id, (updatedTask) => {
if (updatedTask.status.state === "working") {
sendSSEEvent(res, "status", {
id: request.id,
result: { id: updatedTask.id, status: updatedTask.status },
});
}
if (updatedTask.artifacts?.length) {
sendSSEEvent(res, "artifact", {
id: request.id,
result: { id: updatedTask.id, artifact: updatedTask.artifacts.at(-1) },
});
}
// Close stream on terminal states
if (["completed", "failed", "canceled"].includes(updatedTask.status.state)) {
sendSSEEvent(res, "status", {
id: request.id,
result: { id: updatedTask.id, status: updatedTask.status, final: true },
});
unsubscribe();
res.end();
}
});
// Handle client disconnect
req.on("close", () => {
unsubscribe();
});
});
function sendSSEEvent(res: Response, event: string, data: unknown): void {
res.write(`event: ${event}\ndata: ${JSON.stringify(data)}\n\n`);
}
4.2. Add event emitter or pub/sub to task store:
class TaskStore {
private listeners: Map<string, Set<(task: Task) => void>> = new Map();
onUpdate(taskId: string, callback: (task: Task) => void): () => void {
if (!this.listeners.has(taskId)) {
this.listeners.set(taskId, new Set());
}
this.listeners.get(taskId)!.add(callback);
return () => this.listeners.get(taskId)?.delete(callback);
}
private notifyListeners(taskId: string): void {
const task = this.get(taskId);
if (task) {
this.listeners.get(taskId)?.forEach((cb) => cb(task));
}
}
}
4.3. Emit events from all task state transitions + artifact additions.
Got: SSE streaming sends real-time status + artifact events as task progresses.
If fail: SSE connection drops? Client should reconnect + use tasks/get to retrieve current state. Ensure task store doesn't depend on active SSE connections.
Step 5: Add Push Notification Webhook Support
5.1. pushNotifications enabled in Agent Card? Implement webhook registration via tasks/pushNotification/set:
- Accept
PushNotificationConfigwithurl(HTTPS required), optionaltoken,eventsarray (["status", "artifact"]) - Validate webhook URL uses HTTPS; reject with error code
-32004otherwise - Store config in task store, keyed by task ID
5.2. Send webhook callbacks on task state changes:
- Each state transition or artifact addition, check for registered push config
- POST JSON payload with
taskId,eventType,status,timestampto webhook URL - Include
Authorization: Bearer <token>header if token provided
5.3. Implement retry logic for failed webhooks (exponential backoff, max 3 retries).
5.4. Add tasks/pushNotification/get to retrieve current push config for task.
Got: Webhook registration + delivery with retry logic.
If fail: Push notification failures must never affect task execution. Log errors + continue. Webhook URL persistently unreachable → remove subscription after max retries.
Step 6: Integrate with Agent Card for Discovery
6.1. Load + serve Agent Card at startup:
- Parse
agent-card.json+ validate capabilities match implementation - Throw at startup if card advertises
streaming: truebut SSE not enabled - Throw at startup if card advertises
pushNotifications: truebut webhooks not enabled
6.2. Add CORS headers for cross-origin Agent Card discovery:
- Set
Access-Control-Allow-Origin: *on/.well-known/agent.json - Allow
GET+OPTIONSmethods
6.3. Add authentication middleware matching Agent Card scheme:
- Skip authentication for
/.well-known/agent.json(Agent Card always public) - All other endpoints → validate
Authorizationheader or API key - Return HTTP 401 with JSON-RPC error code
-32000for unauthorized requests
6.4. Start server + verify end-to-end:
# Start server
npm run dev
# Fetch Agent Card
curl -s http://localhost:3000/.well-known/agent.json | python3 -m json.tool
# Send a task
curl -X POST http://localhost:3000/ \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tasks/send","params":{"id":"task-1","sessionId":"session-1","message":{"role":"user","parts":[{"type":"text","text":"Analyze my dataset"}]}}}'
Got: Running A2A server serves Agent Card, accepts tasks, manages full lifecycle.
If fail: Agent Card capabilities don't match implementation? Startup validation from 6.1 catches mismatch. Fix implementation or update Agent Card to match.
Checks
- Server starts + serves Agent Card at
/.well-known/agent.json -
tasks/sendcreates tasks + transitions through lifecycle -
tasks/getretrieves task status + artifacts -
tasks/cancelmoves tasks to canceled state - SSE streaming sends real-time status + artifact events (if enabled)
- Push notifications deliver webhooks on state changes (if enabled)
- Invalid state transitions return appropriate JSON-RPC errors
- Authentication rejects unauthorized requests (if configured)
- Agent Card capabilities accurately reflect server implementation
- All JSON-RPC responses include
jsonrpc: "2.0"+ correctid
Pitfalls
- Missing JSON-RPC error codes: A2A protocol defines specific error codes. Use
-32700(parse error),-32600(invalid request),-32601(method not found), custom codes for domain errors. - Task ID collisions: Use UUIDs for task IDs. Client provides ID? Validate uniqueness before creating task.
- SSE connection leaks: Always clean up SSE subscriptions when client disconnects. Use
req.on("close")to detect disconnects. - Blocking skill execution: Long-running skills must execute async. Return task in
submittedorworkingstate immediate, then update via events. - Agent Card drift: Server implementation changes but Agent Card not updated → clients have incorrect expectations. Validate at startup.
- Ignoring terminal states: Once task reaches
completed,failed,canceled, no further state transitions allowed. Guard against this in state machine.
See Also
design-a2a-agent-card- design Agent Card this server implementstest-a2a-interop- validate server against A2A conformance testsbuild-custom-mcp-server- MCP server patterns that inform A2A implementationscaffold-mcp-server- scaffolding patterns applicable to A2A server setupconfigure-ingress-networking- production deployment with TLS + routing
GitHub 저장소
연관 스킬
content-collections
메타이 스킬은 콘텐츠 콜렉션(Content Collections)을 위한 프로덕션 검증된 설정을 제공합니다. 콘텐츠 콜렉션은 Markdown/MDX 파일을 Zod 검증이 포함된 타입 안전한 데이터 콜렉션으로 변환해주는 TypeScript 최우선 도구입니다. 블로그, 문서 사이트 또는 콘텐츠 중심의 Vite + React 애플리케이션을 구축할 때 타입 안전성과 자동 콘텐츠 검증을 보장하기 위해 사용하세요. Vite 플러그인 구성과 MDX 컴파일부터 배포 최적화 및 스키마 검증에 이르기까지 모든 것을 다룹니다.
polymarket
메타이 스킬은 개발자들이 Polymarket 예측 시장 플랫폼을 활용한 애플리케이션을 구축할 수 있도록 지원하며, 거래 및 시장 데이터를 위한 API 통합 기능을 포함합니다. 또한 WebSocket을 통한 실시간 데이터 스트리밍을 제공하여 실시간 거래와 시장 활동을 모니터링할 수 있습니다. 이를 통해 거래 전략을 구현하거나 실시간 시장 업데이트를 처리하는 도구를 생성하는 데 활용할 수 있습니다.
creating-opencode-plugins
메타이 스킬은 개발자들이 명령어, 파일, LSP 작업 등 25개 이상의 이벤트 유형에 연결되는 OpenCode 플러그인을 만들 수 있도록 돕습니다. JavaScript/TypeScript 모듈을 위한 플러그인 구조, 이벤트 API 명세, 구현 패턴을 제공합니다. OpenCode AI 어시스턴트의 라이프사이클을 사용자 정의 이벤트 기반 로직으로 가로채거나, 모니터링하거나, 확장해야 할 때 사용하세요.
sglang
메타SGLang은 RadixAttention 프리픽스 캐싱을 활용하여 JSON, 정규식, 에이전트 워크플로우를 위한 고속 구조화 생성에 특화된 고성능 LLM 서빙 프레임워크입니다. 특히 반복되는 프리픽스가 있는 작업에서 상당히 빠른 추론 속도를 제공하여 복잡한 구조화 출력 및 다중 턴 대화에 이상적입니다. 제약 디코딩이 필요하거나 광범위한 프리픽스 공유가 있는 애플리케이션을 구축할 때는 vLLM과 같은 대안보다 SGLang을 선택하십시오.
