SeedBase Test Data
Generate realistic, FK-consistent synthetic test data for your databases from your AI assistant.
使うべきか
品質と安全性
A
検出事項（1）
- LOWTool 'fetch_generation' suggests web access but openWorldHint=falsefetch_generation 内
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
~1,284トークン数（ツール定義）
~1.8 KB一般的なレスポンスサイズ
注意への影響は中程度（128k コンテキストの 1.00%）
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"seedbase": {
"command": "npx",
"args": [
"@seedbase/client"
]
}
}
}実行可能なパッケージ
npm@seedbase/client
0.2.2stdioリモートエンドポイント
https://seedba.se/mcpstreamable-httpできること
ツール一覧
ツール（6）
🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢list_projects
List your SeedBase projects (id, name, database type). Use this first to find the project to work with.
入力スキーマ
{
"type": "object",
"properties": {},
"additionalProperties": false
}出力スキーマ
{
"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).
入力スキーマ
{
"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
}出力スキーマ
{
"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.
入力スキーマ
{
"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
}出力スキーマ
{
"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.
入力スキーマ
{
"type": "object",
"properties": {
"generation_id": {
"type": "string",
"description": "The generation id (UUID) reported by generate_test_data"
}
},
"required": [
"generation_id"
],
"additionalProperties": false
}出力スキーマ
{
"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.
入力スキーマ
{
"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
}出力スキーマ
{
"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.
入力スキーマ
{
"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
}出力スキーマ
{
"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"
]
}コミュニティ
エビデンス
最近の観測
検証済みバージョンは記録されていませんツール 6 件
検証済みバージョンは記録されていませんツール 6 件