Server data from the Official MCP Registry
Human feedback for AI agents: share HTML, get a live review link, read anchored notes as markdown.
About
Human feedback for AI agents: share HTML, get a live review link, read anchored notes as markdown.
Remote endpoints: streamable-http: https://twocents.page/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
2 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"page-twocents-twocents": {
"url": "https://twocents.page/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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.
Reviews
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