cv.json — open CV data

Search people open to work and fetch their machine-readable cv.json, from any AI assistant.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
73%
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

~825Tokens (Tool-Definitionen)
~1.6 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.64% 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": {
    "cvjson": {
      "command": "npx",
      "args": [
        "cvjson-mcp"
      ]
    }
  }
}

Ausführbare Pakete

npmcvjson-mcp1.1.1stdio

Remote-Endpunkte

https://freecv.org/api/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (4)

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🟢search_open_to_work(query, skills, title, location, workType, ...)

Search FreeCV's LIVE index of real people who are open to work — by skills, role/title, location, and recruiter facets (work type, employment type, visa sponsorship, languages, minimum experience). Returns lean candidate cards (name, current role @ company, location, top skills, languages, and the full availability preferences) plus each person's cv.json URL and portfolio URL — enough to shortlist WITHOUT a fetch_cv per candidate. Call fetch_cv on a result to read the complete structured CV. Only already-public profiles are indexed; contact details are never returned (reach candidates via their portfolio).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Free-text query matched across name, title, skills and experience (e.g. \"senior react developer\")."
    },
    "skills": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Specific skills to match, e.g. [\"React\",\"TypeScript\"]."
    },
    "title": {
      "type": "string",
      "description": "Target role/title, e.g. \"Product Designer\"."
    },
    "location": {
      "type": "string",
      "description": "Country-aware location filter, e.g. \"UK\" (matches London/Manchester), \"Berlin\", \"Gaza\"."
    },
    "workType": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "remote",
          "hybrid",
          "onsite"
        ]
      },
      "description": "Only candidates who OFFER one of these work arrangements."
    },
    "employmentType": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "full-time",
          "part-time",
          "contract",
          "internship",
          "temporary",
          "volunteer"
        ]
      },
      "description": "Only candidates open to one of these employment types."
    },
    "languages": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Languages the candidate must speak, e.g. [\"German\",\"Arabic\"]."
    },
    "sponsorship": {
      "type": "boolean",
      "description": "Filter by visa-sponsorship need: false = does NOT need sponsorship, true = needs it. Candidates who never answered are excluded from this filter."
    },
    "minYearsExp": {
      "type": "integer",
      "minimum": 1,
      "description": "Minimum years of experience."
    },
    "sort": {
      "type": "string",
      "enum": [
        "best",
        "fresh",
        "exp"
      ],
      "description": "Ranking: best match (default), most recently updated, or most experienced."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "description": "Max results per page (default 20)."
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "description": "Result offset for paging through a large shortlist (default 0). Use with `total` in the response."
    }
  }
}
🟢fetch_cv(slug, url)

Fetch a person's cv.json — their full machine-readable CV — by FreeCV slug or livelink.cv URL. Returns structured JSON: basics, work, education, skills, languages, availability, ats, verification, i18n.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "The slug, e.g. \"ashley\" (from livelink.cv/ashley)."
    },
    "url": {
      "type": "string",
      "description": "Full cv.json URL (alternative to slug)."
    }
  }
}
🟢validate_cv(cvjson, slug, url)

Validate a cv.json document against the official cv.json schema. Provide the document (cvjson, object or JSON string) OR a slug/url to fetch and validate. Returns { valid, errors[] }.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "cvjson": {
      "description": "The cv.json document to validate (object or JSON string)."
    },
    "slug": {
      "type": "string",
      "description": "Fetch and validate this slug's live cv.json."
    },
    "url": {
      "type": "string",
      "description": "Fetch and validate this cv.json URL."
    }
  }
}
🟢get_cvjson_schema

Return the official cv.json JSON Schema (the format spec) — use it to understand or generate a compliant cv.json.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}

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