seedbase-mcp

seedbase-mcp

Enables AI assistants to generate realistic, relationship-preserving test data from Seedbase projects into databases.

Category
Visit Server

README

<p align="center"> <img src="https://seedbase.dev/seedbase-logo-256.png" alt="Seedbase" width="120" /> </p>

@seedbase/client

smithery badge

Generate realistic, relationship-preserving, privacy-safe test data for your databases — and pull it straight into your local or CI database.

Seedbase lives on seedbase.dev: you model (or import) a schema there, generate datasets, and use this package to pull them into Postgres, MySQL, SQLite and more. Schema-aware, foreign-key-correct, reproducible by seed.

This is the Node.js client, a counterpart to the Python SDK.

Install

npm install @seedbase/client

Zero runtime dependencies — pure ESM, built on the native fetch of Node 18+.

Quickstart

import { SeedbaseClient } from "@seedbase/client";

// Token from the argument, $SEEDBASE_TOKEN, or ~/.seedbase/config.json
const client = new SeedbaseClient({ token: "dr_sk_..." });

// Trigger a generation and wait for it to finish
const gen = await client.generate(projectId, { seed: 42, wait: true });

// Download the result (Uint8Array)
const bytes = await client.download(gen.id, { format: "sql" });
import { writeFile } from "node:fs/promises";
await writeFile("dump.sql", bytes);

MCP server (Claude Code, Claude Desktop & friends)

This package ships seedbase-mcp — a zero-dependency Model Context Protocol server that lets AI assistants generate test data for you. Describe what you need ("fill my Shop project with MySQL test data") and the assistant drives SeedBase end-to-end through five tools:

Tool What it does
list_projects List your SeedBase projects (id, name, database type)
create_project Create a new, empty project
import_schema Import a schema from SQL DDL (raw pg_dump --schema-only works), CSV/JSON or ORM model code
get_ddl Get a project's schema as CREATE TABLE statements, per dialect
generate_test_data Generate a fresh FK-consistent dataset and return it as SQL (large results are written to a local file, never truncated)

Hosted (zero install) — point any Streamable-HTTP MCP client at https://seedbase.dev/mcp with an Authorization: Bearer dr_sk_... header:

claude mcp add-json seedbase '{"type":"http","url":"https://seedbase.dev/mcp","headers":{"Authorization":"Bearer dr_sk_..."}}'

Local via Claude Code (stdio):

claude mcp add-json seedbase '{"type":"stdio","command":"npx","args":["-y","-p","@seedbase/client","seedbase-mcp"],"env":{"SEEDBASE_API_KEY":"dr_sk_..."}}'

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "seedbase": {
      "command": "npx",
      "args": ["-y", "-p", "@seedbase/client", "seedbase-mcp"],
      "env": { "SEEDBASE_API_KEY": "dr_sk_..." }
    }
  }
}

Create a free account at seedbase.dev/register (no credit card), then create an API key under Settings → API keys. The free tier is enough to generate full, foreign-key-consistent datasets. The server is stdio-only, talks exclusively to https://seedbase.dev, and stores nothing locally.

Authentication

The token is resolved in this order:

  1. The token option passed to the constructor.
  2. The SEEDBASE_TOKEN environment variable.
  3. The token field in ~/.seedbase/config.json (written by seedbase login).

API keys with the dr_sk_ prefix are sent as Authorization: Bearer ..., other tokens as Authorization: Token .... Get a key at seedbase.dev/settings?tab=api-keys.

API

new SeedbaseClient({
  token,            // optional, see resolution order above
  apiUrl,           // default "https://seedbase.dev/api/v1" (https enforced, http only for localhost)
  configPath,       // override ~/.seedbase/config.json
  requestTimeout,   // per-request timeout in ms, default 30000
  fetch,            // inject a custom fetch (e.g. for tests)
});
Method Description
listProjects() All datasets/projects (paginated, followed automatically).
getProject(projectId) A single project.
listGenerations(projectId) Generations for a project (paginated).
getGeneration(generationId) A single generation.
generate(projectId, opts) Trigger a generation. opts: { seed, rows, format, rebaseTo, wait, timeout, pollInterval }. With wait: true it polls until the generation reaches completed/failed/cancelled.
download(generationId, { format }) Download the generated artifact as a Uint8Array. format defaults to "sql".
seededRows(projectId, { seed, rows }) Generate and return the rows as { tableName: [row, ...] }, in foreign-key-safe order.
exportConfig(projectId) The project's engine config as an object.
importConfig(projectId, config) Replace the project's engine config.

All methods are async and return Promises. Failures throw a SeedbaseError (with .statusCode for HTTP errors), carrying a readable message that includes the server's detail or field errors.

import { SeedbaseError } from "@seedbase/client";

try {
  await client.getProject("missing");
} catch (err) {
  if (err instanceof SeedbaseError) {
    console.error(err.statusCode, err.message);
  }
}

Prisma seed

Fill a Prisma-managed database with realistic, foreign-key-consistent data, in one call. Your schema must already exist (your prisma migrate owns it); SeedBase only fills it. Free tier.

// prisma/seed.ts
import { PrismaClient } from "@prisma/client";
import { SeedbaseClient } from "@seedbase/client";
import { seedPrisma } from "@seedbase/client/prisma";

const prisma = new PrismaClient();
const client = new SeedbaseClient({ token: process.env.SEEDBASE_TOKEN });

await seedPrisma(prisma, client, { project: process.env.SEEDBASE_PROJECT, seed: 42 });

Then run prisma db seed. A runnable demo (offline, no account) is in examples/prisma-seed-demo.mjs.

Links

  • Website: https://seedbase.dev
  • Docs: https://seedbase.dev/docs
  • API keys: https://seedbase.dev/settings?tab=api-keys

MIT licensed.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured