SeedBase Test Data
Generate realistic, FK-consistent synthetic test data for your databases from your AI assistant.
Connect it
Settings → Connectors → Add custom connector
URL: https://seedba.se/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://seedba.se/mcp{
"mcpServers": {
"seedbase": {
"url": "https://seedba.se/mcp",
"headers": {
"Authorization": "<YOUR_AUTHORIZATION>"
}
}
}
}claude mcp add --transport http seedbase https://seedba.se/mcp --header "Authorization: <value>"{
"servers": {
"seedbase": {
"type": "http",
"url": "https://seedba.se/mcp",
"headers": {
"Authorization": "<YOUR_AUTHORIZATION>"
}
}
}
}{
"mcpServers": {
"seedbase": {
"command": "npx",
"args": [
"-y",
"@seedbase/client@0.2.2"
],
"env": {
"SEEDBASE_API_KEY": "<value>"
}
}
}
}claude mcp add seedbase -- npx -y @seedbase/client@0.2.26 tools, verified live
list_projectsread-onlyList your SeedBase projects (id, name, database type). Use this first to find the project to work with.
get_ddlread-onlyGet a project's schema as CREATE TABLE statements. Accepts a project id or name and an optional SQL dialect (postgresql, mysql, sqlite, mssql).
generate_test_dataGenerate 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.
fetch_generationread-onlyFetch 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.
create_projectCreate a new, empty SeedBase project. Use import_schema afterwards to add the schema.
import_schemacan modifyImport 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.
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