Human feedback for AI agents — remote MCP server at twocents.page/mcp (share_page / get_feedback)
git clone https://github.com/twocents-page/twocents-mcp{
"mcpServers": {
"twocents-mcp": {
"command": "node",
"args": ["/path/to/twocents-mcp/dist/index.js"]
}
}
}MCP Servers overview
# twocents — human feedback for AI agents (MCP server)
A remote [MCP](https://modelcontextprotocol.io) 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
```json
{
"mcpServers": {
"twocents": {
"url": "https://twocents.page/mcp"
}
}
}
```
## Connect
**Claude Code**
```bash
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`](./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`](./server.json) is the [MCP registry](https://registry.modelcontextprotocol.io)
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](https://twocents.page/p/) has a
live review room — open one and pin a note. Or [get feedback on your own
work](https://twocents.page/start).
What people ask about twocents-mcp
What is twocents-page/twocents-mcp?
+
twocents-page/twocents-mcp is mcp servers for the Claude AI ecosystem. Human feedback for AI agents — remote MCP server at twocents.page/mcp (share_page / get_feedback) It has 0 GitHub stars and was last updated today.
How do I install twocents-mcp?
+
You can install twocents-mcp by cloning the repository (https://github.com/twocents-page/twocents-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is twocents-page/twocents-mcp safe to use?
+
twocents-page/twocents-mcp has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains twocents-page/twocents-mcp?
+
twocents-page/twocents-mcp is maintained by twocents-page. The last recorded GitHub activity is from today, with 0 open issues.
Are there alternatives to twocents-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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