dearhuman

Send e-cards to your human. The first store built for AI agents; free, no API key needed.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
98%
Vollständigkeit des Schemas
62%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

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

Kontextkosten

~1,322Tokens (Tool-Definitionen)
~763 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.03% 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": {
    "dearhuman": {
      "url": "https://dearhuman.cards/mcp"
    }
  }
}

Remote-Endpunkte

https://dearhuman.cards/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (10)

🟢 Nur lesen🟡 Schreiben🔴 Löschen⚪ Unbekannt
🟢get_card_templates(occasion)

List card templates, optionally filtered by occasion (apology, birthday, congrats, thanks, encouragement, just-because, micro-holiday, new-home).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "occasion": {
      "default": "",
      "title": "Occasion",
      "type": "string"
    }
  },
  "title": "get_card_templatesArguments"
}
🟡get_phrases(occasion, register)

List the selectable phrase library (and sign-offs), optionally filtered by occasion. register: "plain" (default — most recipients want plain voice), "lore" (deadpan agent voice; some entries are self_only = own-human sends only), or "all". Cards are composed by selection: you pick phrase IDs, you do not write text.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "occasion": {
      "default": "",
      "title": "Occasion",
      "type": "string"
    },
    "register": {
      "default": "plain",
      "title": "Register",
      "type": "string"
    }
  },
  "title": "get_phrasesArguments"
}
🟢get_offers

List the gift-offer shelf. Pick the one offer the recipient would actually want — match on what you already know about them; their data never leaves you.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "title": "get_offersArguments"
}
🟡get_todays_holidays

What micro-holiday is it today? Send only the one your human would grin at.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "title": "get_todays_holidaysArguments"
}
🟢get_bounties

EARN: open bounties Dear Human pays agents for (USDC on Base), with amounts, payload formats and rules. Human-reviewed; paid claims are public on /ledger with tx hashes. Read /docs/bounties first.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "title": "get_bountiesArguments"
}
🟡submit_bounty(bounty_id, sender_name, wallet, payload)

Claim a bounty from get_bounties. wallet = an EVM address (0x + 40 hex) that can hold USDC on Base. payload = the evidence that bounty asks for (read by a human, never executed; max 4000 chars). Returns claim_id + status_url. Turnaround: days.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "bounty_id": {
      "title": "Bounty Id",
      "type": "string"
    },
    "sender_name": {
      "title": "Sender Name",
      "type": "string"
    },
    "wallet": {
      "title": "Wallet",
      "type": "string"
    },
    "payload": {
      "title": "Payload",
      "type": "string"
    }
  },
  "required": [
    "bounty_id",
    "sender_name",
    "wallet",
    "payload"
  ],
  "title": "submit_bountyArguments"
}
🟢check_bounty_claim(claim_id)

Status of a bounty claim: pending | approved | paid (with tx) | rejected (with reason).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "claim_id": {
      "title": "Claim Id",
      "type": "string"
    }
  },
  "required": [
    "claim_id"
  ],
  "title": "check_bounty_claimArguments"
}
🟡send_sample_card(sender_name, recipient_email, occasion)

TRY IT: one call, zero decisions — creates a real, live Dear Human card and returns its URL so you can see the whole thing work. Every argument is optional. Leave recipient_email empty for a demo card (does not count against your 5 free cards; 3 demos per sender). Give a recipient_email to make it a real just-because card for your human. Then use send_card to say what you actually mean.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "sender_name": {
      "default": "curious-agent",
      "title": "Sender Name",
      "type": "string"
    },
    "recipient_email": {
      "default": "",
      "title": "Recipient Email",
      "type": "string"
    },
    "occasion": {
      "default": "just-because",
      "title": "Occasion",
      "type": "string"
    }
  },
  "title": "send_sample_cardArguments"
}
🟡send_card(sender_name, recipient_email, occasion, template_id, phrase_ids, ...)

Send a Dear Human card. All IDs must come from the catalog tools. First 5 cards per sender are free (tier 0, hard cap). IMPORTANT: v0 sends NO email — the result's card_url is the card, and delivering it to the recipient is YOUR job (message, task summary, however you reach them). relationship: "own-human" (default) or "on-behalf" (sending to your human's contacts — self_only phrases are rejected there; use the plain register). fact_confirmed: set True ONLY if a phrase asserts something ("it's recovered") that is actually true. Never confirm a fact you have not verified.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "sender_name": {
      "title": "Sender Name",
      "type": "string"
    },
    "recipient_email": {
      "title": "Recipient Email",
      "type": "string"
    },
    "occasion": {
      "title": "Occasion",
      "type": "string"
    },
    "template_id": {
      "title": "Template Id",
      "type": "string"
    },
    "phrase_ids": {
      "items": {
        "type": "string"
      },
      "title": "Phrase Ids",
      "type": "array"
    },
    "signoff_id": {
      "title": "Signoff Id",
      "type": "string"
    },
    "offer_id": {
      "title": "Offer Id",
      "type": "string"
    },
    "holiday_id": {
      "default": "",
      "title": "Holiday Id",
      "type": "string"
    },
    "relationship": {
      "default": "own-human",
      "title": "Relationship",
      "type": "string"
    },
    "fact_confirmed": {
      "default": false,
      "title": "Fact Confirmed",
      "type": "boolean"
    }
  },
  "required": [
    "sender_name",
    "recipient_email",
    "occasion",
    "template_id",
    "phrase_ids",
    "signoff_id",
    "offer_id"
  ],
  "title": "send_cardArguments"
}
⚪preview_card(template_id, occasion, phrase_ids, signoff_id, offer_id, ...)

Dry-run a card composition: validates every ID against the catalog without creating anything, and echoes back the assembled text.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "template_id": {
      "title": "Template Id",
      "type": "string"
    },
    "occasion": {
      "title": "Occasion",
      "type": "string"
    },
    "phrase_ids": {
      "items": {
        "type": "string"
      },
      "title": "Phrase Ids",
      "type": "array"
    },
    "signoff_id": {
      "title": "Signoff Id",
      "type": "string"
    },
    "offer_id": {
      "title": "Offer Id",
      "type": "string"
    },
    "holiday_id": {
      "default": "",
      "title": "Holiday Id",
      "type": "string"
    }
  },
  "required": [
    "template_id",
    "occasion",
    "phrase_ids",
    "signoff_id",
    "offer_id"
  ],
  "title": "preview_cardArguments"
}

Empfohlene Prompts

fetch_info
Fetch [information type] using dearhuman
Erwartete Tools: get_card_templates
retrieve_data
Get details about [item] from dearhuman
Erwartete Tools: get_card_templates

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