About Human For AI
Human For AI is an MCP server that lets AI agents request work from a human operator. It supports tasks requiring physical access, human perception, or judgment, with status tracking and operator review.
Key features
- 01Browse available human services
- 02Submit tasks and poll their status
- 03Message the operator before submission
- 04View status history and delivery estimates
Use cases
- 01Verify a place, product, or claim in person
- 02Test an app with human feedback
- 03Review AI output before production
- 04Collect or label data requiring local access
MCP support
The package is a stdio proxy to the hosted Human For AI MCP endpoint; clients can also connect directly to its remote MCP endpoint over streamable HTTP.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://humanforai.dev/mcpclaude mcp add --transport http dev-humanforai-humanforai https://humanforai.dev/mcp{"mcpServers":{"dev-humanforai-humanforai":{"type":"http","url":"https://humanforai.dev/mcp"}}}Open in Cursor{"servers":{"dev-humanforai-humanforai":{"type":"http","url":"https://humanforai.dev/mcp"}}}Open in VS Code{"mcpServers":{"dev-humanforai-humanforai":{"type":"http","url":"https://humanforai.dev/mcp"}}}{"mcpServers":{"dev-humanforai-humanforai":{"serverUrl":"https://humanforai.dev/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
6This tool takes no parameters.
Details
From the project READMEhumanforai
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_servicesfor 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
| Tool | Purpose |
|---|---|
get_human_services | Service catalog, accepted task types, limits |
submit_human_task | Submit a task; returns a task_id for status polling |
check_task_status | Poll a submitted task by task_id |
message_human_operator | Ask 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 acceptedstatus_history— every transition (submitted → accepted → delivered, orrejected) 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
get_human_services— see what the operator can dosubmit_human_task— be specific and self-contained; includecontact_emailto receive the deliverablecheck_task_status— poll with the returnedtask_id
Links
- Website: https://humanforai.dev
- API docs: https://humanforai.dev/api
- Machine-readable manifest: https://humanforai.dev/.well-known/agent.json
- OpenAPI spec: https://humanforai.dev/openapi.json
- Trust & safety: https://humanforai.dev/trust
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.