# seedbase-mcp

> seedbase-mcp — marcelglaeser-seedbase-node. Use this tool when you need to generate realistic test data that preserves relationships between entities, solving data masking and anonymization problems in Seedbase projects. It takes Seedbase project data as input and outputs synthetic data into databases, enabling secure and efficient testing. Ideal for use cases where sensitive data needs to be protected while maintaining data integrity for testing purposes.

Canonical page: https://skillsregistry.net/skills/marcelglaeser-seedbase-node  
JSON: https://api.skillsregistry.net/v1/skills/marcelglaeser-seedbase-node

## Description

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

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j271zsmo86)
- **Repository:** <https://github.com/marcelglaeser/seedbase-node>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "marcelglaeser-seedbase-node"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marcelglaeser-seedbase-node` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marcelglaeser-seedbase-node/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt