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.
@Krishnan-govindan
基本信息
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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"payhumans": {
"url": "https://vepblpimledbyxwydihz.supabase.co/functions/v1/mcp"
}
}
}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
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.
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.
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.
Yes. You must set the `AGENT_API_KEY` environment variable with a key starting with `ph_`, obtainable at payhumans.io.
The README provides configurations for Claude Desktop (via `claude_desktop_config.json`) and Claude Code (via `claude mcp add`).
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.
All data is handled through the Pay Humans API (default endpoint `https://api.payhumans.io`). The server itself only proxies requests.

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation

Agent-Native Terminal

Turn Perfex CRM into an AI-ready workspace. This MCP server exposes your full REST API to Claude, ChatGPT and any AI agent, so leads, invoices and tasks are one prompt away.
Modelglass turns "which model should I use?" into a lookup instead of a guess. Seven tools give your agent live pricing across image, language, video, and audio models. Sourced and versioned, not scraped once and forgott

The 9apes MCP server lets an AI assistant read the GitHub Actions data 9apes already collects for your organization: runs, jobs, steps, and their durations. Ask it why a build got slower, which jobs take the longest, or
评论