fetcher.cloud — the web capability layer for AI agents

MCP serverMedia

Once Fetcher is added, your AI can read live web pages and look up domain details on its own. It renders pages, extracts their content, and checks DNS records, SSL certificates, and WHOIS information. Use it whenever your AI needs current information from a website or facts about a domain.

Use fetcher.cloud — the web capability layer for AI agents in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add fetcher.cloud — the web capability layer for AI agents and connect your AI. About a minute.

Claude ChatGPT Ahel Desktop

Also: Claude Code · Cursor · Codex

Then ask your AI: use fetcher.cloud to render page

No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.

Details

Available today. Use it from your connected AI after setup.

No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.

After adding Fetcher, try asking your AI to open a web page or look up a domain and see what it brings back. The source code is available at github.com/fetchercloud/fetcher-cloud.

fetcher.cloud — the web capability layer for AI agentsStart free

What your AI can do with it

Render web pages so their full content can be read
Extract the specific content you need from a page
Look up DNS records for any domain
Check a domain's SSL certificate
Find WHOIS details for a domain

Install fetcher.cloud — the web capability layer for AI agents

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

Claude Code
claude mcp add --transport http --scope user fetcher-cloud-the-web-capability 'https://api.fetcher.cloud/mcp'
Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://api.fetcher.cloud/mcp
Add a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=fetcher-cloud-the-web-capability&config=eyJ1cmwiOiJodHRwczovL2FwaS5mZXRjaGVyLmNsb3VkL21jcCJ9
Open the link and Cursor adds the server at that address.
ChatGPT
https://api.fetcher.cloud/mcp
In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add fetcher-cloud-the-web-capability --url 'https://api.fetcher.cloud/mcp'
Run it once, then sign in with codex mcp login fetcher-cloud-the-web-capability if the server asks for an account.

From the project's README

As published by fetchercloud/fetcher-cloud in README.md.

One MCP server and API that gives an autonomous AI agent the public web. Render and screenshot pages, extract clean content, resolve links, parse feeds, and inspect domains, DNS, SSL, and WHOIS — 18 capabilities, paid per-call in USDC via x402, with a free daily tier.

Whenever an agent needs something from the internet, it uses fetcher.

Why it exists

LLMs are brilliant at reasoning and blind at retrieval. The moment real-world data needs a browser, a payment, or a login, an agent stalls. fetcher is the specialist capability layer it calls — a single interface for everything an agent can't do alone, billed the only way that works for software: per call, in stablecoins, with no account or API key.

How agents use it

Discover — GET /capabilities returns every capability with category, pricing, examples, and schemas. Or connect the MCP server at /mcp.
Call — a normal GET request. The first unpaid call past the free tier returns 402 Payment Required with machine-readable terms.
Pay — the agent's wallet pays a fraction of a cent in USDC on Base and retries. No human in the loop.

Works with Conway Automaton, Claude, OpenAI Agents, Google ADK, any MCP client, or any agent that can make an HTTP request.

The capabilities

Category	Capabilities
Browser & rendering	`render`, `screenshot`
Content & extraction	`extract`, `unfurl`, `feed`, `oembed`, `pdf-text`, `diff`
Web intelligence	`resolve`, `headers`, `robots`, `favicon`
Domain & DNS	`domain`, `domain/enriched`, `whois`, `dns`, `ssl`
Utility	`qr`

Full catalog with pricing and examples: https://api.fetcher.cloud/capabilities

Machine-readable surfaces

/ (manifest) · /capabilities · /pricing.json · /openapi.json · /mcp · /.well-known/ai-plugin.json · llms.txt

Repository layout

worker/         # the Cloudflare Worker (API, payments, MCP)   → see worker/README.md
website/        # the landing page (Cloudflare Pages)
test-client/    # a script that pays an endpoint on Base mainnet
conway-skill/   # ready-to-submit Conway Automaton skill

Deploy

See worker/README.md and DEPLOY.md for step-by-step deployment (Cloudflare Workers + Pages). Payments require Coinbase CDP facilitator keys set as Worker secrets.

License

MIT — see LICENSE.

Tools it offers (19)

What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.

render_page
screenshot_page
extract_content
resolve_url
unfurl_url
get_feed
get_oembed
find_favicon
check_robots
inspect_headers
dns_lookup
ssl_lookup
whois_lookup
extract_pdf
generate_qr
diff_pages
guard_inspect
guard_tx
check_domain

Signals

Last commit: Aug 2026

Advanced

Delivery: fetcher MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type: mcp-server
Key: cloud-fetcher-fetcher
Source: github.com/fetchercloud/fetcher-cloud
Hosted endpoint: https://api.fetcher.cloud/mcp

github.com/fetchercloud/fetcher-cloud

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