mcpbeat

Agents SDK

openai/agents-sdk

Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

11k tokens
context cost
the whole folder, loaded on every use
12
files
instructions only
0
copies elsewhere
how many repositories repackaged it
4915
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/openai/plugins --skill agents-sdk

What comes with it

40 080 bytes besides the instruction
LICENSE.txt
agents/openai.yaml
assets/cloudflare-small.svg
assets/cloudflare.png
references/callable.md
references/codemode.md
references/email.md
references/mcp.md
references/state-scheduling.md
references/streaming-chat.md
references/workflows.md

The instruction itself

10 sections, as written by the author

Cloudflare Agents SDK

Your knowledge of the Agents SDK may be outdated. Prefer retrieval over pre-training for any Agents SDK task.

Retrieval Sources

Fetch current docs from https://github.com/cloudflare/agents/tree/main/docs before implementing.

| Topic | Doc | Use for |

|-------|-----|---------|

| Getting started | docs/getting-started.md | First agent, project setup |

| State | docs/state.md | setState, validateStateChange, persistence |

| Routing | docs/routing.md | URL patterns, routeAgentRequest, basePath |

| Callable methods | docs/callable-methods.md | @callable, RPC, streaming, timeouts |

| Scheduling | docs/scheduling.md | schedule(), scheduleEvery(), cron |

| Workflows | docs/workflows.md | AgentWorkflow, durable multi-step tasks |

| HTTP/WebSockets | docs/http-websockets.md | Lifecycle hooks, hibernation |

| Email | docs/email.md | Email routing, secure reply resolver |

| MCP client | docs/mcp-client.md | Connecting to MCP servers |

| MCP server | docs/mcp-servers.md | Building MCP servers with McpAgent |

| Client SDK | docs/client-sdk.md | useAgent, useAgentChat, React hooks |

| Human-in-the-loop | docs/human-in-the-loop.md | Approval flows, pausing workflows |

| Resumable streaming | docs/resumable-streaming.md | Stream recovery on disconnect |

Cloudflare docs: https://developers.cloudflare.com/agents/

Capabilities

The Agents SDK provides:

  • Persistent state - SQLite-backed, auto-synced to clients
  • Callable RPC - @callable() methods invoked over WebSocket
  • Scheduling - One-time, recurring (scheduleEvery), and cron tasks
  • Workflows - Durable multi-step background processing via AgentWorkflow
  • MCP integration - Connect to MCP servers or build your own with McpAgent
  • Email handling - Receive and reply to emails with secure routing
  • Streaming chat - AIChatAgent with resumable streams
  • React hooks - useAgent, useAgentChat for client apps

FIRST: Verify Installation

npm ls agents  # Should show agents package

If not installed:

npm install agents

Wrangler Configuration

{
  "durable_objects": {
    "bindings": [{ "name": "MyAgent", "class_name": "MyAgent" }]
  },
  "migrations": [{ "tag": "v1", "new_sqlite_classes": ["MyAgent"] }]
}

Agent Class

import { Agent, routeAgentRequest, callable } from "agents";

type State = { count: number };

export class Counter extends Agent<Env, State> {
  initialState = { count: 0 };

  // Validation hook - runs before state persists (sync, throwing rejects the update)
  validateStateChange(nextState: State, source: Connection | "server") {
    if (nextState.count < 0) throw new Error("Count cannot be negative");
  }

  // Notification hook - runs after state persists (async, non-blocking)
  onStateUpdate(state: State, source: Connection | "server") {
    console.log("State updated:", state);
  }

  @callable()
  increment() {
    this.setState({ count: this.state.count + 1 });
    return this.state.count;
  }
}

export default {
  fetch: (req, env) => routeAgentRequest(req, env) ?? new Response("Not found", { status: 404 })
};

Routing

Requests route to /agents/{agent-name}/{instance-name}:

| Class | URL |

|-------|-----|

| Counter | /agents/counter/user-123 |

| ChatRoom | /agents/chat-room/lobby |

Client: useAgent({ agent: "Counter", name: "user-123" })

Core APIs

| Task | API |

|------|-----|

| Read state | this.state.count |

| Write state | this.setState({ count: 1 }) |

| SQL query | this.sqlSELECT * FROM users WHERE id = ${id} |

| Schedule (delay) | await this.schedule(60, "task", payload) |

| Schedule (cron) | await this.schedule("0 * * * *", "task", payload) |

| Schedule (interval) | await this.scheduleEvery(30, "poll") |

| RPC method | @callable() myMethod() { ... } |

| Streaming RPC | @callable({ streaming: true }) stream(res) { ... } |

| Start workflow | await this.runWorkflow("ProcessingWorkflow", params) |

React Client

import { useAgent } from "agents/react";

function App() {
  const [state, setLocalState] = useState({ count: 0 });

  const agent = useAgent({
    agent: "Counter",
    name: "my-instance",
    onStateUpdate: (newState) => setLocalState(newState),
    onIdentity: (name, agentType) => console.log(`Connected to ${name}`)
  });

  return (
    <button onClick={() => agent.setState({ count: state.count + 1 })}>
      Count: {state.count}
    </button>
  );
}

References

  • references/workflows.md - Durable Workflows integration
  • references/callable.md - RPC methods, streaming, timeouts
  • references/state-scheduling.md - State persistence, scheduling
  • references/streaming-chat.md - AIChatAgent, resumable streams
  • references/mcp.md - MCP server integration
  • references/email.md - Email routing and handling
  • references/codemode.md - Code Mode (experimental)

How to use it

Copy the folder

Take openai/agents-sdk from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npm. Without those the skill loads but fails at the first command.