Human For AI

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

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
88%
Qualität der Benennung
93%
Risiko der Vergiftung
80%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (2)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool description contains URL to non-standard domainin check_task_status

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,643Tokens (Tool-Definitionen)
~1.8 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.28% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "humanforai": {
      "command": "npx",
      "args": [
        "humanforai"
      ]
    }
  }
}

Ausführbare Pakete

npmhumanforai0.1.4stdio

Remote-Endpunkte

https://humanforai.dev/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (6)

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🟢get_human_services

Fetch the Human For AI manifest: available services, operator profile (location, languages, working hours), response times, accepted and rejected task types, and trust & safety policy. Call this first to decide whether and how to hire the human. The catalog is examples, not limits — unlisted needs are welcome as custom_human_in_the_loop.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡submit_human_task(task_type, description, location_required, location_detail, deadline, ...)

Submit a task for the human operator to perform in the real world. Returns a task_id immediately; the human reviews every task before accepting it (this is not instant execution). The operator is push-notified on submission; check_task_status shows seen_by_operator_at once a human has seen the task. Free during the pilot. contact_email must be a real mailbox (MX-checked) — it is how the deliverable reaches you. No mailbox? Set delivery to 'status_poll' instead: the deliverable arrives as text in operator_notes via check_task_status (limited to 1 such task per client per day). In hosts that support MCP Apps the result also renders as a task status card with a Refresh button; the JSON result carries the same data.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "task_type": {
      "type": "string",
      "enum": [
        "real_world_verification",
        "product_or_app_testing",
        "human_judgment_and_feedback",
        "data_collection",
        "local_physical_task",
        "ai_output_review",
        "prompt_and_workflow_testing",
        "simulation_and_automation_testing",
        "accessibility_and_usability_check",
        "decision_escalation",
        "custom_human_in_the_loop"
      ],
      "description": "Service category — see get_human_services for descriptions. The list is not exhaustive: use custom_human_in_the_loop for anything that fits no other category"
    },
    "description": {
      "type": "string",
      "minLength": 10,
      "maxLength": 5000,
      "description": "What to do, where, and what success looks like. Specific, self-contained tasks are accepted faster."
    },
    "location_required": {
      "description": "true if the task needs physical presence (coverage is confirmed at review)",
      "type": "boolean"
    },
    "location_detail": {
      "description": "City, address, or area — required in practice when location_required is true",
      "type": "string",
      "maxLength": 500
    },
    "deadline": {
      "description": "ISO 8601 datetime, e.g. 2026-07-10T12:00:00+03:00",
      "type": "string"
    },
    "output_format": {
      "description": "text_report (default), text_report_with_photos, structured_json, annotated_screenshots, or video",
      "type": "string"
    },
    "contact_email": {
      "description": "Where the deliverable and clarifying questions are sent. Required unless delivery is 'status_poll'. Must be a real, reachable mailbox — placeholder domains are rejected and the domain is MX-checked.",
      "type": "string"
    },
    "delivery": {
      "description": "How the deliverable reaches you. 'email' (default) needs contact_email. 'status_poll' is the no-mailbox path for autonomous agents: the result arrives as text in operator_notes via check_task_status — keep the task_id, it is your only key. Budget: 1 status_poll task per client per day.",
      "type": "string",
      "enum": [
        "email",
        "status_poll"
      ]
    },
    "requester": {
      "description": "Your agent or system identifier, e.g. my-agent/1.0",
      "type": "string",
      "maxLength": 200
    }
  },
  "required": [
    "task_type",
    "description"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢check_task_status(task_id)

Look up a submitted task by its task_id. Returns current status (submitted → accepted → delivered, or rejected), status history with timestamps, seen_by_operator_at (the moment a human actually saw the task — usually well before the first status change), eta (operator-set delivery estimate, once accepted), and any operator notes. Once delivered, the response also carries receipt (a signed JWS binding the deliverable's sha256 to the lifecycle timestamps) and deliverable_sha256 — verify offline against https://humanforai.dev/.well-known/jwks.json. In hosts that support MCP Apps the result also renders as a task status card (timeline, seen-by-human moment, ETA, operator notes, receipt) with a Refresh button; the JSON result carries the same data.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "task_id": {
      "type": "string",
      "description": "Task ID returned by submit_human_task, e.g. HFAI-2026-A1B2C3D4E5F60718"
    }
  },
  "required": [
    "task_id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡message_human_operator(message, reply_to, subject, from)

Send a free-form message to the human operator — questions, scoping, custom or recurring projects, anything that is not yet a ready-made task. reply_to is REQUIRED: an email a human can read (MX-checked), or an https URL to receive the reply as a signed webhook push. The response also carries thread_url + access_token — every message is a pollable thread, so you can read the reply with check_message_thread even without a mailbox. Keep the token: it is shown only once.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "message": {
      "type": "string",
      "minLength": 5,
      "maxLength": 5000,
      "description": "The message. Plain language, English."
    },
    "reply_to": {
      "type": "string",
      "description": "REQUIRED. Email address for the reply (real, reachable, MX-checked) — or an https webhook URL for a signed push."
    },
    "subject": {
      "description": "Short subject line",
      "type": "string",
      "maxLength": 200
    },
    "from": {
      "description": "Your agent or system identifier",
      "type": "string",
      "maxLength": 200
    }
  },
  "required": [
    "message",
    "reply_to"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢check_message_thread(message_id, access_token)

Read the thread for a message you sent: the original text, every reply oldest-first, and whether the operator has answered. Needs the message_id and the access_token from the submission response. An empty replies list means no answer yet — the operator works at human speed, so poll occasionally rather than in a loop.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "message_id": {
      "type": "string",
      "description": "The message id from message_human_operator, e.g. MSG-2026-1A2B3C4D"
    },
    "access_token": {
      "type": "string",
      "description": "The access_token returned once at submission — the only key to the thread."
    }
  },
  "required": [
    "message_id",
    "access_token"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡reply_in_message_thread(message_id, access_token, message)

Add a follow-up to a thread you opened — answer a question the operator asked, add detail, correct yourself, or withdraw the request. Prefer this over sending a brand-new message about the same subject. Needs the message_id and access_token from the submission response.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "message_id": {
      "type": "string",
      "description": "The message id from message_human_operator"
    },
    "access_token": {
      "type": "string",
      "description": "The access_token returned once at submission"
    },
    "message": {
      "type": "string",
      "minLength": 2,
      "maxLength": 5000,
      "description": "The follow-up text"
    }
  },
  "required": [
    "message_id",
    "access_token",
    "message"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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