SeedBase Test Data

Generate realistic, FK-consistent synthetic test data for your databases from your AI assistant.

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Calidad y seguridad

A
Calidad de la descripción
97%
Integridad del esquema
88%
Calidad de los nombres
100%
Riesgo de envenenamiento
100%
Coincidencia de permisos
90%
Cumplimiento del protocolo
100%

Hallazgos (1)

  • LOWTool 'fetch_generation' suggests web access but openWorldHint=falseen fetch_generation

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

Costo de contexto

~1,284Tokens (definiciones de herramientas)
~1.8 KBTamaño de respuesta típico
Impacto moderado en la atención (1.00% 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": {
    "seedbase": {
      "command": "npx",
      "args": [
        "@seedbase/client"
      ]
    }
  }
}

Paquetes ejecutables

npm@seedbase/client0.2.2stdio

Puntos de conexión remotos

https://seedba.se/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (6)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢list_projects

List your SeedBase projects (id, name, database type). Use this first to find the project to work with.

Esquema de entrada

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

Esquema de salida

{
  "type": "object",
  "properties": {
    "projects": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "name": {
            "type": "string"
          },
          "db_type": {
            "type": "string"
          }
        },
        "required": [
          "id",
          "name",
          "db_type"
        ]
      }
    }
  },
  "required": [
    "projects"
  ]
}
🟢get_ddl(project, dialect)

Get a project's schema as CREATE TABLE statements. Accepts a project id or name and an optional SQL dialect (postgresql, mysql, sqlite, mssql).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "project": {
      "type": "string",
      "description": "Project id (UUID) or project name"
    },
    "dialect": {
      "type": "string",
      "enum": [
        "postgresql",
        "mysql",
        "sqlite",
        "mssql"
      ],
      "description": "SQL dialect for the DDL (default: the project's database type)"
    }
  },
  "required": [
    "project"
  ],
  "additionalProperties": false
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "ddl": {
      "type": "string"
    },
    "dialect": {
      "type": "string"
    }
  },
  "required": [
    "ddl",
    "dialect"
  ]
}
🟡generate_test_data(project, rows, seed)

Generate a fresh synthetic dataset for a project and return it as SQL INSERT statements. Optionally set rows per table. The data is foreign-key consistent.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "project": {
      "type": "string",
      "description": "Project id (UUID) or project name"
    },
    "rows": {
      "type": "integer",
      "minimum": 1,
      "description": "Rows per table (optional; plan limits apply)"
    },
    "seed": {
      "type": "integer",
      "description": "Seed for deterministic output (optional)"
    }
  },
  "required": [
    "project"
  ],
  "additionalProperties": false
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "status": {
      "type": "string",
      "enum": [
        "completed",
        "running"
      ]
    },
    "generation_id": {
      "type": "string"
    },
    "sql": {
      "type": "string",
      "description": "Complete SQL INSERTs. Absent when the result is too large — download it from download_url instead; no partial SQL is ever returned."
    },
    "truncated": {
      "type": "boolean",
      "description": "True when the SQL was too large to inline. The response then contains NO sql; fetch the complete file from download_url."
    },
    "download_url": {
      "type": "string",
      "description": "Authenticated download endpoint for the complete SQL (send your API key as 'Authorization: Bearer …')."
    },
    "sql_chars": {
      "type": "integer"
    }
  },
  "required": [
    "status",
    "generation_id"
  ]
}
🟢fetch_generation(generation_id)

Fetch a previously started generation by id: returns its status, and the SQL INSERT statements once completed. Use this when generate_test_data reported the generation as still running.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "generation_id": {
      "type": "string",
      "description": "The generation id (UUID) reported by generate_test_data"
    }
  },
  "required": [
    "generation_id"
  ],
  "additionalProperties": false
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "status": {
      "type": "string",
      "enum": [
        "completed",
        "running"
      ]
    },
    "generation_id": {
      "type": "string"
    },
    "sql": {
      "type": "string",
      "description": "Complete SQL INSERTs. Absent when the result is too large — download it from download_url instead; no partial SQL is ever returned."
    },
    "truncated": {
      "type": "boolean",
      "description": "True when the SQL was too large to inline. The response then contains NO sql; fetch the complete file from download_url."
    },
    "download_url": {
      "type": "string",
      "description": "Authenticated download endpoint for the complete SQL (send your API key as 'Authorization: Bearer …')."
    },
    "sql_chars": {
      "type": "integer"
    }
  },
  "required": [
    "status",
    "generation_id"
  ]
}
🟡create_project(name, db_type)

Create a new, empty SeedBase project. Use import_schema afterwards to add the schema.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Project name"
    },
    "db_type": {
      "type": "string",
      "enum": [
        "postgresql",
        "mysql",
        "sqlite",
        "mssql"
      ],
      "description": "Target database type (default: postgresql)"
    }
  },
  "required": [
    "name"
  ],
  "additionalProperties": false
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string"
    },
    "name": {
      "type": "string"
    },
    "db_type": {
      "type": "string"
    }
  },
  "required": [
    "id",
    "name",
    "db_type"
  ]
}
🔴import_schema(project, content, format)

Import a database schema into a project from pasted content: SQL DDL (CREATE TABLE …, raw pg_dump/mysqldump schema output works), SQL INSERT dumps, CSV/TSV, JSON, or ORM model code (Django, Prisma, SQLAlchemy, …). Replaces the project's current schema.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "project": {
      "type": "string",
      "description": "Project id (UUID) or project name"
    },
    "content": {
      "type": "string",
      "description": "The schema source text (e.g. the DDL)"
    },
    "format": {
      "type": "string",
      "description": "Optional hint: sql, csv, tsv, json, or an ORM name (django, prisma, sqlalchemy, …). Auto-detected when omitted."
    }
  },
  "required": [
    "project",
    "content"
  ],
  "additionalProperties": false
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "table_count": {
      "type": "integer"
    },
    "fk_count": {
      "type": "integer"
    },
    "tables": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "warnings": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "table_count",
    "fk_count"
  ]
}

Comunidad

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Evidencia

Observaciones recientes

verificadoversión no registrada6 herramientas
verificadoversión no registrada6 herramientas