MCP.Market

Pebbler Human Feedback MCP server

by bridge-applications·io.github.bridge-applications/pebbler-mcp·v0.1.0

Buy human image preference comparisons on the Pebbler app with locally controlled USDC payments.

A85/100grade A
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Safety scan
A85/100

full report

Adoption
Growing

0 stars32 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Pebbler Human Feedback tools (7, 2 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • create_studywrite action

    Validate an immutable preference comparison with two HTTPS image options. Version 1 supports A vs B image tests only. Free. Reuse request_key to recover a failed creation. Returns the study ID and quote; access credentials stay in the local adapter.

  • get_catalog

    Read supported image comparison format, price, respondent slots and schemas. Free; use before creating a study.

  • get_study_results

    Retrieve aggregate image preference votes. Free and included in purchase. Responses are from incentivised Pebbler app participants and may be incomplete.

  • get_study_status

    Get order state and collection progress. Free; honour poll_after_seconds. For pending settlement or launch, retry purchase_study with its original identifiers.

  • list_local_studies

    List study IDs and purchase identifiers retained by this adapter. Free; use to recover work after restarting. Does not expose wallet keys or access credentials.

  • purchase_studywrite action

    Purchase and schedule the quoted study using the locally configured wallet. Charges USDC, subject to code-enforced budgets. Reuse the original idempotency_key on every retry. Pending payment/launch responses must be recovered through this same tool without another payment.

  • quote_study

    Refresh an unpaid study's quote. Free. Do not refresh after signing a payment; recover that purchase instead.

Public scan report

scanner v0.1.10 · 2026-10-14 · same rubric, same numbers if you re-run it

no findings
  • Code scan14 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 8 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Pebbler Human Feedback compares

Against every graded Media MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
85/100
higher than 73% of 1,337 Media servers
Tools
7
the typical Media server has 7
Tools that change things
29%
typical: 4%. Fewer write tools means less an agent can break
Downloads a week
32
more than 16% of 365 Media servers with a package

What its tools let an agent do: 5 read · 1 create · 1 change

Install Pebbler Human Feedback in Claude Code, Cursor or VS Code

Runs npx -y @pebbler/pebbler-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add pebbler-mcp -- npx -y @pebbler/pebbler-mcp
Add to Cursor

What the publisher says

From the Pebbler Human Feedback repository's README, as published. We do not edit it. Read it on GitHub

Pebbler MCP

Let your agent collect human feedback on two images and explain the results. Pebbler runs image preference tests with participants on the Pebbler app.

Your agent retrieves current pricing, package details and availability before creating a test. The purchase uses a live quote and stays within the spending limits you configure. Pricing and package sizes are not fixed by this connector.

Version 1 supports image A/B preference tests. These measure which image people prefer, rather than product conversion or causal effects. Completed response counts are not guaranteed. Surveys and text-only comparisons are not supported.

Connect your agent

Use an MCP app that supports local servers and Node.js 22 or later. Add this configuration to your app:

{
    "mcpServers": {
        "pebbler": {
            "command": "npx",
            "args": ["-y", "@pebbler/pebbler-mcp@0.1.0"]
        }
    }
}

Pebbler's production settings are included. You can explore current packages and create drafts without enabling payments.

Enable purchases

Use a dedicated wallet funded with native USDC on Base. Configure these settings locally in your MCP app's environment or secret settings:

Both spending limits are required when payments are enabled. They are your budget, not the price of a test. If a quote exceeds either limit, the connector stops instead of raising your budget. Payments stay disabled until you enable them explicitly.

The wallet key remains local. Do not put it in a prompt or share it in a conversation. Prices and quotes are fetched by the agent; you do not need to configure them.

Ask for a test

For example:

Check the current package and price, then compare these two image URLs. Tell me the quote before buying and stay within my configured budget.

Provide two publicly accessible HTTPS image URLs and a clear question. Use images you own or have permission to use, and keep the URLs available while responses are collected.

Your agent can show the current offer, create a draft, purchase the test and check progress. You can read partial results while collection continues or return later to ask for the final counts and vote shares. Retrieving results is included in the purchase.

Available tools

The agent learns each tool's inputs automatically when connected. It should read the catalog first, use the quote for the purchase, and follow the returned polling interval when checking progress.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Pebbler Human Feedback: common questions

Is Pebbler Human Feedback MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the Pebbler Human Feedback safety report
How do I install Pebbler Human Feedback?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Pebbler Human Feedback need an API key?
Yes. The registry entry asks for PEBBLER_WALLET_PRIVATE_KEY.
Is Pebbler Human Feedback maintained?
The last commit was 29 days ago (2026-10-05). The latest release is v0.1.0.
What can I use instead of Pebbler Human Feedback?
Servers from other publishers that do the same job: Remove AI Watermarks MCP server, Transloadit Media Processing MCP server and SuperCMO MCP server.
How does Pebbler Human Feedback compare with other Media MCP servers?
safety score 85/100 (higher than 73% of 1,337 Media servers); tools 7 (the typical Media server has 7); tools that change things 29% (typical: 4%. Fewer write tools means less an agent can break). Full comparison.

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