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SeedWeaver

SeedWeaver

by FixtureForge

SeedWeaver 🌱

Generate realistic, referentially-coherent test data from your real database schema β€” straight from Claude, Cursor, or any MCP client.

Paste your CREATE TABLE SQL (or a JSON schema) and SeedWeaver generates seed data where foreign keys actually resolve to real primary keys, unique constraints are respected, and values are realistic (names, emails, dates, decimals). Unlike generic mock-data tools that spit out statistically random junk, SeedWeaver understands the relationships in your schema.

Ask your AI: "Generate 50 users and 200 orders for this schema" β€” and get INSERTs you can run immediately, with every order.user_id pointing at a user that exists.


Why SeedWeaver

Most "fake data" tools (Faker wrappers, random generators) give you isolated rows with no awareness of your schema. The moment you have foreign keys, you're back to hand-wiring relationships. SeedWeaver:

  • Resolves foreign keys β€” referenced tables are generated first (topological ordering), and FK columns point at real generated keys.

  • Respects constraints β€” unique columns stay unique, primary keys are unique, NOT NULL is honored.

  • Reads your real schema β€” paste Postgres/MySQL CREATE TABLE DDL directly, no manual config.

  • Realistic values β€” names, emails, addresses, companies, dates, decimals, enums.

  • Outputs what you need β€” SQL INSERT statements, JSON, or CSV.

Related MCP server: mockhero

Install

npx -y seedweaver-mcp

Add to your MCP client config (Claude Desktop / Cursor / Windsurf):

{
  "mcpServers": {
    "seedweaver": {
      "command": "npx",
      "args": ["-y", "seedweaver-mcp"]
    }
  }
}

Tools

Tool

What it does

analyze_schema

Parse a schema (SQL DDL or JSON) and report tables, columns, relationships, and generation order. Run this first to confirm SeedWeaver reads your schema correctly.

generate_seed_data

Generate coherent test data. Returns SQL INSERTs (default), JSON, or CSV.

Examples

From SQL DDL:

Generate 20 rows of test data for:

CREATE TABLE users (
  id UUID PRIMARY KEY,
  email VARCHAR(255) UNIQUE NOT NULL,
  full_name VARCHAR(100),
  created_at TIMESTAMP
);
CREATE TABLE orders (
  id SERIAL PRIMARY KEY,
  user_id UUID NOT NULL REFERENCES users(id),
  total DECIMAL(10,2),
  status VARCHAR(20)
);

Every generated orders.user_id will be a real users.id.

From a JSON schema (gives you fine control β€” enums, ranges, per-table row counts):

{
  "tables": [
    {
      "name": "users",
      "rows": 20,
      "columns": [
        { "name": "id", "type": "uuid", "primaryKey": true },
        { "name": "email", "type": "email", "unique": true },
        { "name": "name", "type": "fullName" }
      ]
    },
    {
      "name": "orders",
      "rows": 80,
      "columns": [
        { "name": "id", "type": "serial", "primaryKey": true },
        { "name": "user_id", "type": "fk", "references": "users.id" },
        { "name": "total", "type": "decimal", "min": 5, "max": 500 },
        { "name": "status", "type": "enum", "values": ["pending", "paid", "shipped"] }
      ]
    }
  ]
}

Supported column types: uuid, serial, int, decimal, boolean, email, fullName, firstName, lastName, username, phone, address, city, country, company, url, word, sentence, paragraph, date, datetime, enum, fk.


Free vs. Pro

The free tier is fully functional for small schemas. Pro removes the limits and adds the features you need for real projects and CI.

Free

Pro

Tables per schema

2

Unlimited

Rows per table

50

Unlimited

Output formats

SQL, JSON

+ CSV

Deterministic seeds (reproducible data)

β€”

βœ“

Custom locales

β€”

βœ“

Use in CI / automation

β€”

βœ“

β†’ Get SeedWeaver Pro β€” $19/mo

Activate by setting your license key:

{
  "mcpServers": {
    "seedweaver": {
      "command": "npx",
      "args": ["-y", "seedweaver-mcp"],
      "env": { "SEEDWEAVER_LICENSE": "your-key-here" }
    }
  }
}

License

The SeedWeaver MCP server is MIT licensed and free to run. Pro features are unlocked with a paid license key. Built with the Model Context Protocol.

Available Tools

2 tools
analyze_schemaA

Parse a database schema (SQL CREATE TABLE statements or a JSON schema) and report its tables, columns, relationships, and the order seed data would be generated in. Use this first to confirm SeedWeaver understands the schema correctly.

Inputs: schema (required).

generate_seed_dataA

Generate realistic, referentially-coherent test data from a database schema. Foreign keys resolve to real generated primary keys, unique constraints are respected, and values are realistic (names, emails, dates). Accepts SQL DDL or a JSON schema. Returns INSERT statements, JSON, or CSV.

Inputs: schema (required), rows, seed, format.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4.3/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have entirely distinct purposes: one for analyzing/validating schema understanding, the other for generating data. No overlap or ambiguity.

    Naming Consistency5/5

    Both tools follow the consistent verb_noun pattern (analyze_schema, generate_seed_data), making their actions and targets clear.

    Tool Count3/5

    With only 2 tools, the server is minimal but still covers its core purpose. It could benefit from a few more tools (e.g., configuration, validation), but the count is acceptable for a focused utility.

    Completeness4/5

    The tool surface covers the essential workflow: analyze schema, then generate data. Minor gaps like customizing data types or revalidating are absent but not critical for the stated purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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