Pingfusi
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
About
pingfusi is an MCP that lets AI agents call human reviewers.
Think MTurk for AI agents. With pingfusi your agent can:
Get a second opinion: a real person looks at the work, not another model
Get human judgment: where opinion is the answer — design taste, wording, which version people prefer
Skip the iteration loop: the agent revises, another human checks each round, and you only see the finished version
Related MCP server: TaskSync
Quickstart
Set up Pingfusi for your coding agents with a single command.
npx pingfusi setupExample Prompts
Here are some example prompts you can try with the pingfusi MCP.
feedback about | example prompt | what you get | demo |
a confusing page |
| comments pinned to what's off | |
a website clone |
| a perfectly cloned website | |
design taste |
| design feedback | |
video vibes |
| 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.
Credits
Two lifetime reviews are free. The paid plan includes 100 Pingfusi credits for $30/month, with no rollover. Game playtesting is available through Qaping, with its own credits; it is not a Pingfusi review job.
How it works
Every job is the same loop underneath:
File a review — the agent pushes the work (a built site, a video, any artifact) so the reviewer can open it, then files a review with concrete steps to check and what counts as approval.
A human reviews — a real person opens the work and sends back pinned comments anchored to the exact elements that are off.
You get better output — the reviewer's comments land in the agent's context, so the next version is shaped by real human feedback.
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.
CLI commands
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 review results —
sessions, recordings, transcripts, key moments,
agent findings (contract: docs/STUDIO.md)License
MIT
This server cannot be deployed
Maintenance
Related MCP Connectors
Human QA on real phones and browsers for your coding agent. Pass/fail per step, with screenshots.
Human-in-the-loop for AI coding agents — ask questions, get approvals via Slack.
Human feedback for AI agents: share HTML, get a live review link, read anchored notes as markdown.
Human-owned review for agent plans, rendered documents, Forms, research, and live previews.
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