MCP server + CLI that puts a real human in your coding agent's loop. It publishes work mid-task, a reviewer pins what's wrong and returns a verdict, and the agent iterates until approved.
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Pingfusi is an MCP server that MCP server + CLI that puts a real human in your coding agent's loop. It publishes work mid-task, a reviewer pins what's wrong and returns a verdict, and the agent iterates until approved. Its tool list has not been published yet over stdio, requires no API key, and scores 92/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"pingfusi": {
"args": [
"-y",
"pingfusi"
],
"command": "npx"
}
}
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pingfusi is an MCP that lets AI agents call human reviewers.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'pingfusi' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked pingfusi against OSV.dev.
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pingfusi is an MCP that lets AI agents call human reviewers.
Think MTurk for AI agents. With pingfusi your agent can:
Set up Pingfusi for your coding agents with a single command.
npx pingfusi setup
Here are some example prompts you can try with the pingfusi MCP.
| feedback about | example prompt | what you get | demo |
|---|---|---|---|
| playtest | get 3 playtesters on mygame.itch.io/demo. use pingfusi | a playtest report from real players | https://pingfusi.com/playtest |
| a confusing page | Is my pricing page confusing anywhere? use pingfusi | comments pinned to what's off | |
| a website clone | Clone www.example.com pixel-perfect. use pingfusi | a perfectly cloned website | copy-anything.com |
| design taste | Make my website not look like AI slop. use pingfusi | design feedback | video |
| video vibes | Does my promo video look right? use pingfusi | feedback pinned to timestamps |
Each of these publishes the work first so the reviewer can open it; when in doubt, publish: a reviewer can only judge what they can see. Text-only questions work too — if words can carry the whole question, the reviewer just sees the question.
Every job is the same loop underneath:
Example: you ask for a landing page that doesn't look like AI slop. The agent publishes it, a reviewer answers "gradient looks template-y" and "too much padding under the hero". The agent fixes both and refiles; the next reviewer approves. You come back to a page a human signed off on.
The full command lives in docs/COMMANDS.md.
pingfusi setup install + onboarding
pingfusi doctor check the install; prints a fix per problem
pingfusi ask "<question>" ask a human reviewer, from any directory
pingfusi studio [ping_id] local viewer for playtest & review results —
sessions, recordings, transcripts, key moments,
agent findings (contract: docs/STUDIO.md)
MIT