talent

Talent discovery for AI. Search and read agent-readable candidate profiles; cite by URL.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
97%
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

~673Tokens (Tool-Definitionen)
~638 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.53% 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": {
    "talent": {
      "url": "https://d.cv/mcp"
    }
  }
}

Remote-Endpunkte

https://d.cv/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (7)

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🟢search(query)

Search d.cv talent profiles by free-text query (name, role, skills, location). Returns lightweight results with an id, title, and url. Use fetch to read one in full. (Standard connector search tool.)

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "What to look for, e.g. \"senior react engineer in berlin\""
    }
  },
  "required": [
    "query"
  ]
}
🟢fetch(id)

Fetch a single d.cv profile in full as markdown, by its id (the handle returned from search).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "The profile id / handle, e.g. \"kukuh\""
    }
  },
  "required": [
    "id"
  ]
}
🟢search_talent(query, skills, open_to_work, limit)

Find published candidate profiles on d.cv by keyword, skill, role, location, and availability. Returns structured candidates with handle, url, headline, skills, and open-to-work status.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Keywords across name, headline, location, and skills"
    },
    "skills": {
      "type": "string",
      "description": "Alias of query; specific skills to match"
    },
    "open_to_work": {
      "type": "boolean",
      "description": "If true, only return candidates open to work"
    },
    "limit": {
      "type": "number",
      "description": "Max results, 1-50 (default 25)"
    }
  }
}
🟢get_open_to_work(skills, limit)

List candidates who are currently open to work, optionally filtered by skills. Best when the user wants people actively looking.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "skills": {
      "type": "string",
      "description": "Optional skills/role to filter by"
    },
    "limit": {
      "type": "number",
      "description": "Max results, 1-50 (default 25)"
    }
  }
}
🟢get_profile(handle)

Read a single candidate profile in full as clean markdown, by handle.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "handle": {
      "type": "string",
      "description": "The profile handle, e.g. \"kukuh\""
    }
  },
  "required": [
    "handle"
  ]
}
🟡add_to_shortlist(handle, shortlist)

Add a candidate to one of your d.cv shortlists (creates the shortlist if it does not exist). Requires your d.cv API key. Use after search_talent when the user wants to save someone.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "handle": {
      "type": "string",
      "description": "The candidate handle to add, e.g. \"kukuh\""
    },
    "shortlist": {
      "type": "string",
      "description": "Shortlist name. Defaults to \"From AI\"."
    }
  },
  "required": [
    "handle"
  ]
}
🟡save_search(query, name, open_to_work)

Save a talent search to your d.cv account so you can re-run it later. Requires your d.cv API key.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "The search text to save"
    },
    "name": {
      "type": "string",
      "description": "A name for the saved search"
    },
    "open_to_work": {
      "type": "boolean",
      "description": "Whether the search is limited to open-to-work"
    }
  },
  "required": [
    "query"
  ]
}

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