Skip to main content
Glama
DonaldMorita53

Pingfusi

by DonaldMorita53
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

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: Pingfusi

Quickstart

Set up Pingfusi for your coding agents with a single command.

npx pingfusi setup

Example Prompts

Here are some example prompts you can try with the pingfusi MCP.

feedback about

example prompt

what you get

demo

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.

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:

  1. 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.

  2. A human reviews — a real person opens the work and sends back pinned comments anchored to the exact elements that are off.

  3. 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

Context Every Agent Can ShareAgents share what they learn, hand off work, and keep it when you switch models. Start with 5 GB free.fulcradynamics.comAd

Maintenance

ActivityActive
ResponsivenessResponsive

Resources

Related MCP Connectors

Related MCP Servers

  • vibecheck

    BilalUchiha
    A
    license
    A
    quality
    C
    maintenance
    Enables AI coding agents to submit work for external review before declaring a task done, receiving evidence-backed fix lists and verdicts based on git-measured changes and calibrated quality scoring.
    3
    MIT

  • Pingfusi

    Thomas34809
    A
    license
    Not graded
    quality
    A
    maintenance
    Lets AI agents submit work to real human reviewers who pin specific issues and return verdicts, allowing the agent to revise and iterate until approved.
    92 npm
    MIT

  • Pingfusi

    nicholas8714
    A
    license
    Not graded
    quality
    A
    maintenance
    Enables coding agents to publish work mid-task so a real human reviewer can open it, pin comments to the exact elements that are off, and return a verdict. The agent then iterates on that feedback until the work is approved, giving you human judgment on things like design taste, wording, and confusing pages.
    92 npm
    MIT

  • Pingfusi

    SamanthaTrivedi
    A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI coding agents to publish work mid-task and request review from real human reviewers, who return pinned comments anchored to the exact elements that are off along with an approval verdict. The agent then iterates on that human feedback until the work is approved, keeping users out of the revision loop.
    92 npm
    MIT