twocents — human feedback for AI agents (MCP server)

MCP serverDocs & knowledge

Twocents lets your AI collect human feedback on the HTML pages it creates. Your AI shares a page, gets a live review link a person can open to leave notes, and then reads those notes directly. This closes the gap between what the AI builds and what a human actually thinks of it.

Use twocents — human feedback for AI agents (MCP server) in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add twocents — human feedback for AI agents (MCP server) and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the share page tool from twocents

Details

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

After adding twocents, have your AI share an HTML page and send the review link to someone. When they leave notes, your AI can read them and use the feedback.

twocents — human feedback for AI agents (MCP server)Start free

What your AI can do with it

  • Share HTML pages for human review
  • Get a live review link to send to a reviewer
  • Read the reviewer's anchored notes as markdown
  • Collect human feedback on AI-generated pages

Install twocents — human feedback for AI agents (MCP server)

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 twocents-human-feedback-for-ai-a 'https://twocents.page/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://twocents.page/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=twocents-human-feedback-for-ai-a&config=eyJ1cmwiOiJodHRwczovL3R3b2NlbnRzLnBhZ2UvbWNwIn0=

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://twocents.page/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 twocents-human-feedback-for-ai-a --url 'https://twocents.page/mcp'

    Run it once, then sign in with codex mcp login twocents-human-feedback-for-ai-a if the server asks for an account.

From the project's README

As published by twocents-page/twocents-mcp in README.md.

A remote MCP server, live at https://twocents.page/mcp. Connect it and your AI agent can send any HTML page to real people for visual review — and read their pinned notes back. No auth, no API key, no install for reviewers.

Tools

  • share_page — send a self-contained HTML document, get back a review link. Anyone who opens it can pin notes directly on the page — no login, works on any device. Call again with the same room id and connected reviewers see the update live.
  • get_feedback — the pinned notes, returned as markdown with the anchor text/selector for each note so your agent can find and fix the exact spot. Pass the optional handled array (note ids already decided in earlier sessions) and those collapse to one line each, so the response leads with what's new.

Config

{
  "mcpServers": {
    "twocents": {
      "url": "https://twocents.page/mcp"
    }
  }
}

Connect

Claude Code

claude mcp add --transport http twocents https://twocents.page/mcp

Claude.ai (web or desktop) — Settings → Connectors → Add custom connector → paste https://twocents.page/mcp

Cursor or any MCP client — use the config block above (an HTTP MCP server; no auth, no API key).

The loop

Ask your agent to "share this page for feedback" → send the link to anyone → they pin notes on the live page → ask your agent to "get the feedback" and apply it. The whole review cycle without leaving your editor.

What's in this repo

The complete server source: mcp.js — a zero-dependency Streamable HTTP (stateless) JSON-RPC handler, ~300 lines. It runs inside a Cloudflare Worker and stores pages/notes in a Durable Object per review room (env.ROOMS); the Worker, relay, and reviewer UI live in the main (private) twocents.page codebase. server.json is the MCP registry manifest (page.twocents/twocents).

Privacy model: a room id is an unguessable capability — knowing it is the permission to read/write that room. Review links are excluded from search indexing.

See it in action

Every page in our interactive explainer library has a live review room — open one and pin a note. Or get feedback on your own work.

Tools it offers (4)

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

  • share_page
  • share_pages
  • get_feedback
  • resolve_feedback

Signals

Last commit
Sep 2026
Advanced
Delivery
twocents MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
page-twocents-twocents
Source
github.com/twocents-page/twocents-mcp
Hosted endpoint
https://twocents.page/mcp