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Pay Humans

@Krishnan-govindan

Repository

About Pay Humans

The human API for AI agents. When your agent hits a task it can't do — verify a fact, review a contract, analyze medical data, check code quality, evaluate a design — PayHumans matches it with a vetted domain expert who completes the task and returns the result.

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "payhumans": {
      "url": "https://vepblpimledbyxwydihz.supabase.co/functions/v1/mcp"
    }
  }
}

Tools

7

Find human experts by domain, research type, or max rate

Post a new job for a human expert to complete

Fetch job status and results

List your agent's jobs (optional status filter)

Accept expert's work and trigger payout

Send a message to the assigned expert

Get an expert's full profile, availability, and rating

Overview

What is Pay Humans?

Pay Humans is an MCP (Model Context Protocol) server that connects AI agents to the Pay Humans platform, allowing them to discover and hire human experts for tasks the agent cannot complete alone—such as research, verification, physical delivery, and expert calls.

How to use Pay Humans?

Install the server via Smithery (npx -y @smithery/cli install payhumans-mcp --client claude) or directly with npx -y payhumans-mcp. Set the AGENT_API_KEY environment variable (key starts with ph_). Configure your MCP client (e.g., Claude Desktop or Claude Code) with the server command and API key, then use the provided tools to search experts, post jobs, and manage tasks.

Features of Pay Humans

  • Search experts by domain, research type, or maximum rate
  • Post jobs for humans to complete and fetch status/results
  • Accept expert work and trigger automatic payout
  • Message assigned experts directly
  • View expert profiles with availability and rating

Use cases of Pay Humans

  • An AI assistant needs a human to verify a physical business address in a specific city
  • A researcher requires an expert call on FDA regulations within a budget
  • An agent hires a freelancer for a one-time data collection or delivery task

FAQ from Pay Humans

What does the Pay Humans MCP server do?

It acts as a bridge between AI agents (like Claude) and the Pay Humans platform, exposing tools for agents to search for, hire, and communicate with human experts, and to manage job lifecycle.

Is an API key required?

Yes. You must set the AGENT_API_KEY environment variable with a key starting with ph_, obtainable at payhumans.io.

Which MCP clients are supported?

The README provides configurations for Claude Desktop (via claude_desktop_config.json) and Claude Code (via claude mcp add).

How does the job flow work?

The agent posts a job via post_job, the platform matches it to an expert, the expert completes it, the agent reviews via get_job and accepts via complete_job, then the expert is paid automatically.

Where does data live?

All data is handled through the Pay Humans API (default endpoint https://api.payhumans.io). The server itself only proxies requests.

Frequently asked questions

What does the Pay Humans MCP server do?

It acts as a bridge between AI agents (like Claude) and the Pay Humans platform, exposing tools for agents to search for, hire, and communicate with human experts, and to manage job lifecycle.

Is an API key required?

Yes. You must set the `AGENT_API_KEY` environment variable with a key starting with `ph_`, obtainable at payhumans.io.

Which MCP clients are supported?

The README provides configurations for Claude Desktop (via `claude_desktop_config.json`) and Claude Code (via `claude mcp add`).

How does the job flow work?

The agent posts a job via `post_job`, the platform matches it to an expert, the expert completes it, the agent reviews via `get_job` and accepts via `complete_job`, then the expert is paid automatically.

Where does data live?

All data is handled through the Pay Humans API (default endpoint `https://api.payhumans.io`). The server itself only proxies requests.

Comments

Basic information

Category

Developer Tools

Transports

stdio

Author

Krishnan-govindan

Submitted by

Krishan Govindan

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