SpinGras

EU AI Act Article 4 (AI literacy) readiness check and intro booking with SpinGras, Amsterdam.

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Calidad y seguridad

A
Calidad de la descripción
88%
Integridad del esquema
73%
Calidad de los nombres
95%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Hallazgos (1)

  • LOWTool 'list_services' description lacks action verben list_services

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

Costo de contexto

~1,057Tokens (definiciones de herramientas)
~1.9 KBTamaño de respuesta típico
Impacto moderado en la atención (0.83% 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": {
    "mcp": {
      "url": "https://mcp.spingras.io/mcp"
    }
  }
}

Puntos de conexión remotos

https://mcp.spingras.io/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (4)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢list_services

Company facts and the four ways to work with SpinGras: workshop, 90-day rollout, keynote, retainer.

Esquema de entrada

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢assess_article4_readiness(usesAi, staffUsingAi, hasAiUsePolicy, trainingDelivered, trainingRecorded, ...)

Checks an organisation's AI literacy measures against Article 4 of the EU AI Act and returns prioritised gaps with sources. Deterministic, not legal advice.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "usesAi": {
      "type": "boolean",
      "description": "Does anyone in the organisation use AI tools (e.g. ChatGPT, Copilot) or AI systems for work?"
    },
    "staffUsingAi": {
      "type": "integer",
      "minimum": 0,
      "maximum": 1000000,
      "description": "Approximate number of staff using AI for work"
    },
    "hasAiUsePolicy": {
      "type": "boolean",
      "description": "Is there written guidance on which AI tools may be used and for what?"
    },
    "trainingDelivered": {
      "type": "boolean",
      "description": "Have staff who use AI received any AI literacy training or guidance?"
    },
    "trainingRecorded": {
      "type": "boolean",
      "description": "Is that training documented (who, when, what)?"
    },
    "trainingRoleSpecific": {
      "type": "boolean",
      "description": "Is training matched to roles and the AI systems each role uses?"
    },
    "sensitiveUseCases": {
      "type": "boolean",
      "description": "Is AI used for decisions about people (hiring, credit, customers' eligibility) or with sensitive data?"
    }
  },
  "required": [
    "usesAi",
    "staffUsingAi",
    "hasAiUsePolicy",
    "trainingDelivered",
    "trainingRecorded",
    "trainingRoleSpecific",
    "sensitiveUseCases"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_intro_slots(from, days, timeZone)

Returns open 30-minute intro call slots with SpinGras, grouped by date.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "from": {
      "description": "First date to check, YYYY-MM-DD. Defaults to today.",
      "type": "string",
      "format": "date",
      "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))$"
    },
    "days": {
      "default": 7,
      "type": "integer",
      "minimum": 1,
      "maximum": 14
    },
    "timeZone": {
      "default": "Europe/Amsterdam",
      "description": "IANA time zone for returned times",
      "type": "string",
      "maxLength": 64,
      "pattern": "^[A-Za-z_]+(\\/[A-Za-z0-9_+-]+){0,2}$|^UTC$"
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢request_intro(name, email, company, topic, date)

Builds a prefilled booking link for a 30-minute intro call. Does not book anything: give the link to the user to confirm a time themselves.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "minLength": 1,
      "maxLength": 100
    },
    "email": {
      "type": "string",
      "maxLength": 254,
      "format": "email",
      "pattern": "^(?:[A-Za-z0-9_'+\\-]+\\.)*[A-Za-z0-9_'+\\-]*[A-Za-z0-9_+-]@(?:[A-Za-z0-9][A-Za-z0-9\\-]*\\.)+[A-Za-z]{2,}$"
    },
    "company": {
      "type": "string",
      "maxLength": 100
    },
    "topic": {
      "description": "What the user wants to discuss",
      "type": "string",
      "maxLength": 500
    },
    "date": {
      "description": "Preferred date, YYYY-MM-DD",
      "type": "string",
      "format": "date",
      "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))$"
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Comunidad

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Evidencia

Observaciones recientes

verificadoversión no registrada4 herramientas