cv.json — open CV data

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

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Calidad y seguridad

A
Calidad de la descripción
100%
Integridad del esquema
73%
Calidad de los nombres
100%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~825Tokens (definiciones de herramientas)
~1.6 KBTamaño de respuesta típico
Impacto moderado en la atención (0.64% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

{
  "mcpServers": {
    "cvjson": {
      "command": "npx",
      "args": [
        "cvjson-mcp"
      ]
    }
  }
}

Paquetes ejecutables

npmcvjson-mcp1.1.1stdio

Puntos de conexión remotos

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

Qué puede hacer

Inventario de herramientas

Herramientas (4)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢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).

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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[] }.

Esquema de entrada

{
  "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.

Esquema de entrada

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

Comunidad

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Evidencia

Observaciones recientes

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