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CleanPage

by IO31-WEBversion 1.0.0i★ –iRuns in the cloud
Registry nameio.github.IO31-WEB/cleanpage

Install

Overview

Description from the maker (original English)

Turn any URL into clean, structured, agent-ready content. $0.02/call via x402 on Base.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://cleanpage-mcp.cleanpage-mcp.workers.dev/mcp

Run this in your terminal

claude mcp add --transport http cleanpage https://cleanpage-mcp.cleanpage-mcp.workers.dev/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "cleanpage": {
      "url": "https://cleanpage-mcp.cleanpage-mcp.workers.dev/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "cleanpage": {
      "type": "http",
      "url": "https://cleanpage-mcp.cleanpage-mcp.workers.dev/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://cleanpage-mcp.cleanpage-mcp.workers.dev/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account IO31-WEB, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 32583 servers in this category
  • Published to the registry more recently than 45% of the other 32583 servers in this category
  • Basic checks equal to or better than 100% of the other 32583 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is CleanPage safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, sync. labs

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

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sync. labs

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Lipsync videos, dub them into other languages, make talking videos and open sync. Studio.

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

CleanPage

A paid MCP tool that turns any URL into clean, structured, agent-optimized content. Agents pay $0.02 USDC per successful call via x402 on Base — no accounts, no API keys, no subscriptions.

clean_page(url) → { title, clean_markdown, plain_text, structured_facts,

metadata, links, images, quality_score, extraction_notes }

Built for Cloudflare Workers. Full TypeScript. No paid infra required beyond a domain and a Base wallet address.


How agents use this

  1. Discover the service for free — no payment needed for any of this:
  • GET /.well-known/agent.json — machine-readable capability card
  • GET /.well-known/mcp.json — MCP connection + pricing manifest
  • GET /llms.txt — plain-text summary for LLM crawlers
  • MCP tools health, list_capabilities, pricing (all free)
  1. Connect an MCP client to https:// /mcp over Streamable HTTP:
   {

"mcpServers": { "cleanpage": { "url": "https:// /mcp", "transport": "streamable-http" } } }

  1. Call `clean_page` with no payment attached first:
   POST /mcp

{ "jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": { "name": "clean_page", "arguments": { "url": "https://example.com/article" } } }

   The response is **HTTP 402** with an `accepts` array describing exactly what payment is required (amount, network, asset, payee address).
  1. Sign and retry. Construct a USDC transferWithAuthorization (EIP-3009) payment payload for the requested amount, base64-encode it, and retry the *same* request with an X-PAYMENT header. Most x402 client libraries (e.g. x402-fetch, x402-axios) do steps 3–4 for you automatically.
  1. Get the result. On success, the response carries the full JSON result plus an X-PAYMENT-RESPONSE header with the settlement transaction hash. Failed extractions (paywalls, bot-blocks, empty pages) are never charged — settlement only happens after a successful extraction.

Full protocol details: see /llms.txt and /.well-known/mcp.json once deployed, or the "For agents" section of the landing page.


Project structure

cleanpage/

├── src/ │ ├── index.ts # Hono app: routes, x402 payment gate, static asset fallback │ ├── types.ts # Shared types (Env, CleanPageResult, etc.) │ ├── config.ts # Reads env vars into a typed config object │ ├── mcp/ │ │ ├── server.ts # JSON-RPC 2.0 / MCP method dispatcher (stateless) │ │ └── tools.ts # Tool schemas + descriptions (clean_page, health, ...) │ ├── extraction/ │ │ ├── extractor.ts # Core pipeline: fetch → Readability → markdown/links/metadata │ │ └── enrichment.ts # Optional cheap LLM pass for structured_facts │ ├── payments/ │ │ └── x402.ts # x402 payment requirements, facilitator verify/settle │ └── middleware/ │ └── limits.ts # KV-backed rate limiting + call/revenue analytics ├── public/ # Static assets served at the Worker's root │ ├── index.html # Landing page (live demo, pricing, docs, for-agents) │ ├── robots.txt # Explicitly welcomes agent/LLM crawlers │ ├── llms.txt # Plain-text agent-facing summary │ └── .well-known/ │ ├── agent.json # Agent discovery/capability card │ └── mcp.json # MCP connection + pricing manifest ├── wrangler.toml # Cloudflare Workers config (bindings, vars) ├── package.json ├── tsconfig.json └── .env.example # Documents every config value


Architecture notes

MCP transport. The MCP Streamable HTTP transport is implemented directly in src/mcp/server.ts as a stateless JSON-RPC 2.0 dispatcher (initialize, tools/list, tools/call, ping), rather than via the official SDK's Node-oriented HTTP transport class. This is a deliberate choice for correctness on Cloudflare Workers: the SDK's transport targets Node's http.IncomingMessage/ServerResponse, which Workers doesn't have. The dispatcher here follows the same wire protocol (JSON-RPC over a single POST endpoint, one server-scoped session per request) so any standard MCP client can connect to it. If you later run this on a Node-based host, you can swap in @modelcontextprotocol/sdk's StreamableHTTPServerTransport directly.

Payment gating. POST /mcp peeks at the parsed JSON-RPC body: only tools/call requests naming clean_page are payment-gated (src/index.ts); health, list_capabilities, pricing, and all non-tool-call methods (initialize, tools/list, etc.) pass straight through, rate-limited but free. This keeps the discovery surface fully open to agents while gating only the one paid capability.

Settlement timing. Payment is *verified* before extraction runs, but *settled* (broadcast on-chain) only after extraction succeeds. If extraction fails, the agent's payment authorization is simply discarded — nothing is charged.

No private key required. Because USDC on Base supports EIP-3009 meta-transactions, the resource server never holds a private key. PAYMENT_ADDRESS is a public wallet address; the facilitator submits the signed authorization on-chain and sponsors gas.

Extraction engine. @mozilla/readability (the engine behind Firefox Reader Mode) does the core content extraction, running against a DOM built with linkedom (a fast, dependency-light DOM implementation that works in Workers — jsdom does not). A small hand-written HTML→Markdown walker converts the extracted fragment to markdown, since no existing markdown-conversion library is both Workers-compatible and DOM-based. Heuristics before and after extraction catch common failure modes: paywall markers, bot-check pages, and JS-only empty shells all produce typed errors instead of low-quality output.

Optional LLM enrichment. structured_facts is populated only when the caller passes options.extract_facts: true, and only if ENABLE_LLM_ENRICHMENT=true and ANTHROPIC_API_KEY is set. It's off the critical path — if the enrichment call fails or is disabled, clean_page still returns a complete result with an empty structured_facts array and a note explaining why. There's no additional charge for using it.

Rate limiting & analytics. Both are implemented with a single KV namespace: a fixed 1-minute-window counter per client IP for free-tier calls, and a running JSON counter object for total calls / successes / failures / revenue, exposed read-only at GET /analytics.


Required services / infrastructure

ComponentWhat you needWhere to get it
HostingCloudflare Workers (with Static Assets)dash.cloudflare.com — free tier works to start
Domain + DNSA domain proxied through CloudflareAny registrar; add to Cloudflare, point at the Worker
WalletA Base wallet address (public address only)Any EVM wallet — Coinbase Wallet, MetaMask, etc.
x402 facilitatorVerifies/settles paymentshttps://x402.org/facilitator (testnet-friendly default); Coinbase-operated or self-hosted facilitators for mainnet production volume
KV namespaceRate limiting + analytics storagewrangler kv namespace create CLEANPAGE_KV
LLM (optional)Structured fact extractionAnthropic API key, only if ENABLE_LLM_ENRICHMENT=true

No database, no queue, no separate backend — everything runs in the one Worker.


Deployment (step by step)

# 1. Install dependencies

npm install

2. Create the KV namespace used for rate limiting + analytics

npx wrangler kv namespace create CLEANPAGE_KV npx wrangler kv namespace create CLEANPAGE_KV --preview

Copy the two returned IDs into wrangler.toml under [[kv_namespaces]]

3. Edit wrangler.toml [vars]:

- PAYMENT_ADDRESS → your Base wallet address

- PUBLIC_BASE_URL → your real domain, e.g. https://cleanpage.yourdomain.com

- X402_NETWORK → "base-sepolia" while testing, "base" for mainnet

Also update the same URLs/addresses in:

- public/.well-known/agent.json

- public/.well-known/mcp.json

- public/llms.txt

- public/index.html (og:url, structured data, MCP config example)

4. (Optional) enable LLM fact extraction

npx wrangler secret put ANTHROPIC_API_KEY

5. Type-check

npm run typecheck

6. Deploy

npm run deploy

7. Point your domain at the Worker (Cloudflare dashboard → Workers →

your worker → Triggers → Custom Domains), or use the workers.dev

subdomain Wrangler prints after deploy.

Local development
npm run dev

Worker runs at http://localhost:8787

Try: curl -X POST http://localhost:8787/mcp -H "Content-Type: application/json" \

-d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Going from testnet to mainnet
  1. Switch X402_NETWORK from base-sepolia to base in wrangler.toml.
  2. Switch X402_FACILITATOR_URL to a mainnet-capable facilitator (confirm your chosen facilitator supports Base mainnet settlement — verify current facilitator options, as this ecosystem is still young and options change).
  3. Re-deploy.

Environment variables

See .env.example for the full annotated list. Summary:

VariableRequiredDefaultPurpose
PAYMENT_ADDRESSyes—Base wallet address receiving USDC
X402_NETWORKyesbase-sepoliabase or base-sepolia
X402_FACILITATOR_URLyeshttps://x402.org/facilitatorFacilitator used for verify/settle
CLEAN_PAGE_PRICE_USDyes0.02Price per successful clean_page call
PUBLIC_BASE_URLyes—Your deployed URL, used in discovery files
FREE_RATE_LIMIT_PER_MINno30Free-tier calls per IP per minute
ENABLE_LLM_ENRICHMENTnotrueEnables structured_facts extraction
LLM_MODELnoclaude-haiku-4-5-20251001Model used for enrichment
ANTHROPIC_API_KEYonly if enrichment enabled—Secret; set via wrangler secret put

Example MCP client configuration

{

"mcpServers": { "cleanpage": { "url": "https://cleanpage.yourdomain.com/mcp", "transport": "streamable-http" } } }

Example tool call and response shape

Request:

{

"jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": { "name": "clean_page", "arguments": { "url": "https://example.com/article", "options": { "extract_facts": true } } } }

Successful response (after payment) — result.content[0].text is a JSON string shaped like:

{

"title": "Article title", "clean_markdown": "# Article title\n\nBody content as markdown…", "plain_text": "Body content as plain text…", "structured_facts": [ { "claim": "…", "category": "fact", "confidence": 0.82 } ], "metadata": { "author": "Jane Doe", "published_date": "2026-08-01T00:00:00Z", "site_name": "Example", "language": "en", "word_count": 812, "reading_time_minutes": 4, "fetched_at": "2026-09-17T12:00:00.000Z", "final_url": "https://example.com/article", "status_code": 200 }, "links": [{ "url": "https://example.com/other", "text": "related", "type": "internal" }], "images": ["https://example.com/hero.jpg"], "quality_score": 85, "extraction_notes": [] }

Error codes

error_codeMeaningRetryable
INVALID_URLMalformed, non-http(s), or a blocked internal addressno
FETCH_FAILEDNon-2xx response, non-HTML content, or oversized pagesometimes
TIMEOUTPage didn't respond within the timeoutyes
PAYWALL_DETECTEDSubscription/metered paywall detectedno
BLOCKED_BY_SITEBot-check/CAPTCHA or JS-only empty shellno
EMPTY_CONTENTNo substantial article content found

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