Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/commandcodeai/agent-skills/building-mcp-server-on-cloudflarenpx skills add CommandCodeAI/agent-skills --skill building-mcp-server-on-cloudflaregit clone --depth 1 https://github.com/CommandCodeAI/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/commandcodeai/agent-skills/building-mcp-server-on-cloudflare)<a href="https://agentmods.dev/skills/commandcodeai/agent-skills/building-mcp-server-on-cloudflare"><img src="https://agentmods.dev/badge/skills/commandcodeai/agent-skills/building-mcp-server-on-cloudflare.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00105 | $0.01604 |
| Opus 5 | $0.00053 | $0.00802 |
| Sonnet 5 | $0.00021 | $0.00321 |
| Haiku 4.5 | $0.00011 | $0.00160 |
Grade A, and why
building-mcp-server-on-cloudflare scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
fetch(request: Request, env: Env, ctx: ExecutionContext) { Copies of this mod
2 near-identical copies found in the catalogue:
- building-mcp-server-on-cloudflare — 100% identical, 0 lines differ
- building-mcp-server-on-cloudflare — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building MCP Servers on Cloudflare
Creates production-ready Model Context Protocol servers on Cloudflare Workers with tools, authentication, and deployment.
When to Use
- User wants to build a remote MCP server
- User needs to expose tools via MCP
- User asks about MCP authentication or OAuth
- User wants to deploy MCP to Cloudflare Workers
Prerequisites
- Cloudflare account with Workers enabled
- Node.js 18+ and npm/pnpm/yarn
- Wrangler CLI (
npm install -g wrangler)
Quick Start
Option 1: Public Server (No Auth)
npm create cloudflare@latest -- my-mcp-server \
--template=cloudflare/ai/demos/remote-mcp-authless
cd my-mcp-server
npm start
Server runs at http://localhost:8788/mcp
Option 2: Authenticated Server (OAuth)
npm create cloudflare@latest -- my-mcp-server \
--template=cloudflare/ai/demos/remote-mcp-github-oauth
cd my-mcp-server
Requires OAuth app setup. See references/oauth-setup.md.
Core Workflow
Step 1: Define Tools
Tools are functions MCP clients can call. Define them using server.tool():
import { McpAgent } from "agents/mcp";
import { z } from "zod";
export class MyMCP extends McpAgent {
server = new Server({ name: "my-mcp", version: "1.0.0" });
async init() {
// Simple tool with parameters
this.server.tool(
"add",
{ a: z.number(), b: z.number() },
async ({ a, b }) => ({
content: [{ type: "text", text: String(a + b) }],
})
);
// Tool that calls external API
this.server.tool(
"get_weather",
{ city: z.string() },
async ({ city }) => {
const response = await fetch(`https://api.weather.com/${city}`);
const data = await response.json();
return {
content: [{ type: "text", text: JSON.stringify(data) }],
};
}
);
}
}
Step 2: Configure Entry Point
Public server (src/index.ts):
import { MyMCP } from "./mcp";
export default {
fetch(request: Request, env: Env, ctx: ExecutionContext) {
const url = new URL(request.url);
if (url.pathname === "/mcp") {
return MyMCP.serveSSE("/mcp").fetch(request, env, ctx);
}
return new Response("MCP Server", { status: 200 });
},
};
export { MyMCP };
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 266 lines · 105 tokens per session scan A b03cd41736a3
building-mcp-server-on-cloudflare is a skill published in the GitHub repository CommandCodeAI/agent-skills (120 stars, last pushed 5mo ago), licensed MIT. It adds 105 tokens to every session and 1,604 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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