Cloudflare agents
Build AI agents on Cloudflare Workers with MCP integration, tool use, and LLM providers.From its SKILL.md
npx -y skills add VRIL-LABS/skill-jam --skill cloudflare-agentsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
Copied from the file, not written here
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
2.7 KB, 634 tokens by cl100k_base, as published. Nobody here has run it
Cloudflare Agents
Last Updated: 2025-11-21
Quick Start
export default {
async fetch(request, env, ctx) {
const agent = {
tools: [
{ name: 'getTodo', handler: async ({id}) => ({id, title: 'Task'}) }
],
async run(input) {
return await processWithLLM(input, this.tools);
}
};
return Response.json(await agent.run(await request.text()));
}
};
Core Features
- Tool Integration: Register and execute tools
- LLM Providers: OpenAI, Anthropic, Google Gemini
- MCP Protocol: Model Context Protocol support
- Cloudflare Bindings: D1, KV, R2, Durable Objects
Agent Pattern
const agent = {
tools: [...],
systemPrompt: 'You are a helpful assistant',
model: 'gpt-4o',
async run(input) {
// Process with LLM
}
};
Resources
Core Documentation
references/patterns-concepts.md(317 lines) - What is Cloudflare Agents, patterns & concepts, critical rules, known issues preventionreferences/configuration-guide.md(152 lines) - Complete configuration deep divereferences/agent-api.md(115 lines) - Complete Agent Class API reference
Integration Guides
references/http-sse-guide.md(74 lines) - HTTP & Server-Sent Eventsreferences/websockets-guide.md(110 lines) - WebSocket integrationreferences/state-management.md(388 lines) - State management, scheduled tasks, workflowsreferences/mcp-integration.md(130 lines) - Model Context Protocol integration
Advanced Features
references/advanced-features.md(637 lines) - Browser automation, RAG, AI model integration, calling agents, client APIs
Error Reference
references/error-catalog.md(10 lines) - Common errors and solutions
Templates
templates/basic-agent.ts- Basic agent setuptemplates/browser-agent.ts- Browser automationtemplates/calling-agents-worker.ts- Calling other agentstemplates/chat-agent-streaming.ts- Streaming chat agenttemplates/hitl-agent.ts- Human-in-the-looptemplates/mcp-server-basic.ts- MCP server integrationtemplates/rag-agent.ts- RAG implementationtemplates/react-useagent-client.tsx- React client integrationtemplates/scheduled-agent.ts- Scheduled taskstemplates/state-sync-agent.ts- State synchronizationtemplates/websocket-agent.ts- WebSocket agenttemplates/workflow-agent.ts- Workflows integrationtemplates/wrangler-agents-config.jsonc- Wrangler configuration
Official Docs: https://developers.cloudflare.com/cloudflare-for-platforms/cloudflare-agents/
What ships with it: 22 files
97.5 KB alongside SKILL.md, 11 of them executable
references/
- advanced-features.md13.6 KB
- agent-api.md2.9 KB
- configuration-guide.md3.1 KB
- error-catalog.md275 B
- http-sse-guide.md2.0 KB
- mcp-integration.md2.7 KB
- patterns-concepts.md11.0 KB
- state-management.md9.5 KB
- websockets-guide.md3.0 KB
templates/
- basic-agent.tsruns383 B
- browser-agent.tsruns4.9 KB
- calling-agents-worker.tsruns3.7 KB
- chat-agent-streaming.tsruns1.5 KB
- hitl-agent.tsruns6.6 KB
- mcp-server-basic.tsruns4.0 KB
- rag-agent.tsruns4.8 KB
- react-useagent-client.tsx5.5 KB
- scheduled-agent.tsruns4.5 KB
- state-sync-agent.tsruns3.9 KB
- websocket-agent.tsruns4.1 KB
- workflow-agent.tsruns3.8 KB
- wrangler-agents-config.jsonc1.9 KB
Gives 0 of the 12 instructions most mcp tooling skills give in 634 tokens
Counted across 638 of the 750 authors here whose files we hold, read 2026-08-07
- Create ten complex or independent read-only evaluation questionsin 69 of 638, across 15 files
- Test servers using MCP Inspectorin 61 of 638, across 19 files
- Provide actionable error messages with specific next stepsin 54 of 638, across 12 files
- Prioritize comprehensive API coverage over specific workflows or workflow toolsin 54 of 638, across 12 files
- Use TypeScript and Streamable HTTP for remote servers or clientsin 54 of 638, across 8 files
- Define structured output schemas where possiblein 50 of 638, across 8 files
- Use Zod or Pydantic for input schemasin 47 of 638, across 5 files
- Fetch MCP specification pages with markdown suffixin 46 of 638, across 4 files
- Load framework documentation using WebFetchin 45 of 638, across 3 files
- Verify each evaluation answer independentlyin 45 of 638, across 3 files
- Implement API client with authentication and paginationin 45 of 638, across 3 files
- Define input schemas with validationin 27 of 638, across 9 files
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.