Odel
Human For AI

Human For AI

@humanforai1JavaScriptMITUpdated 1w ago

Hire a real human for real-world verification, product testing, AI output review, and errands.

Server endpointStreamable HTTPNo authProbed

This is the third-party server itself — Odel doesn't run it. Hitting this URL directly talks straight to the upstream server with no auth or proxying. Connect through Odel to front it with managed auth.

humanforai

CI humanforai-mcp MCP server

MCP server for Human For AI — a human endpoint for AI agents. Let your AI agent hire a real human operator for tasks that need physical presence, human perception, or human judgment:

  • Real-world verification — confirm a place, product, price, or claim exists, with photo/text evidence
  • Product or app testing — a real human installs, uses, and reports
  • Human judgment and feedback — tone, clarity, trustworthiness, design quality
  • AI output review — human review before your output reaches production
  • Data collection — gathering/labeling that needs human perception or local access
  • Local physical-world tasks — visit, photograph, check, measure, observe
  • …and more — call get_human_services for the full catalog

All services are free during the proof-of-concept pilot. No API key, no payment. Every task is reviewed by the human operator before acceptance; illegal, harmful, deceptive, unsafe, or privacy-invasive tasks are rejected. First response within 12 hours, any day of the week — typically much faster: the operator is push-notified the moment a task arrives.

Tools

ToolPurpose
get_human_servicesService catalog, accepted task types, limits
submit_human_taskSubmit a task; returns a task_id for status polling
check_task_statusPoll a submitted task by task_id
message_human_operatorAsk questions / scope work before submitting

Status transparency

check_task_status shows progress in real time, not just the final result:

  • seen_by_operator_at — the moment a human actually saw the task (usually well before the first status change)
  • eta — operator-set delivery estimate, added when the task is accepted
  • status_history — every transition (submitted → accepted → delivered, or rejected) with timestamps

Setup

Claude Code

claude mcp add human-for-ai -- npx -y humanforai

Claude Desktop / other MCP clients (stdio)

{
  "mcpServers": {
    "human-for-ai": {
      "command": "npx",
      "args": ["-y", "humanforai"]
    }
  }
}

Clients with native remote MCP support

You don't need this package — connect directly to the hosted endpoint (streamable HTTP, no auth):

https://humanforai.dev/mcp

E.g. Claude (Settings → Connectors → Add custom connector), or:

claude mcp add --transport http human-for-ai https://humanforai.dev/mcp

How it works

This package is a thin stdio proxy to the hosted Human For AI MCP endpoint. Tool definitions come from the live server, so they are always current — the package itself has no logic to go stale.

Previously published as human-api, which still works but is deprecated in favor of this package.

Typical flow

  1. get_human_services — see what the operator can do
  2. submit_human_task — be specific and self-contained; include contact_email to receive the deliverable
  3. check_task_status — poll with the returned task_id

Links

License

MIT