twocents
Human feedback for AI agents: share HTML, get a live review link, read anchored notes as markdown.
Que pouvez-vous faire avec twocents ?
share_page— send a self-contained HTML document, get back a review link.get_feedback— the pinned notes, returned as markdown with the anchor
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
claude mcp add --transport http twocents 'https://twocents.page/mcp'
{
"mcpServers": {
"twocents": {
"type": "http",
"url": "https://twocents.page/mcp"
}
}
}
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
twocents — human feedback for AI agents (MCP server)
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 optionalhandledarray (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.
Questions fréquentes
Qu'est-ce que twocents ?
Human feedback for AI agents: share HTML, get a live review link, read anchored notes as markdown.
Comment installer twocents ?
Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http twocents 'https://twocents.page/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour twocents ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
twocents est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient twocents ?
Il est publié par twocents-page. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.