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"]
}
}
}Resumen de MCP Servers
# 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).
Lo que la gente pregunta sobre twocents-mcp
¿Qué es twocents-page/twocents-mcp?
+
twocents-page/twocents-mcp es mcp servers para el ecosistema de Claude AI. Human feedback for AI agents — remote MCP server at twocents.page/mcp (share_page / get_feedback) Tiene 0 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala twocents-mcp?
+
Puedes instalar twocents-mcp clonando el repositorio (https://github.com/twocents-page/twocents-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar twocents-page/twocents-mcp?
+
twocents-page/twocents-mcp aún no ha sido auditado por nuestro agente de seguridad. Revisa el repositorio original en GitHub antes de usarlo en producción.
¿Quién mantiene twocents-page/twocents-mcp?
+
twocents-page/twocents-mcp es mantenido por twocents-page. La última actividad registrada en GitHub es de today, con 0 issues abiertos.
¿Hay alternativas a twocents-mcp?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
Despliega twocents-mcp en tu cloud
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