# struct-mcp

> Use this tool when you need to transform complex data structures into queryable servers, enabling natural language queries about field meanings, data lineage, and structure. It solves problems related to data discovery, metadata management, and data governance by providing a simple interface to input data structure definitions and output queryable MCP servers. Ideal for use cases where data understanding and exploration are crucial, such as data integration, analytics, and science applications.

Canonical page: https://skillsregistry.net/skills/laurears-struct-mcp  
JSON: https://api.skillsregistry.net/v1/skills/laurears-struct-mcp

## Description

Transform data structure definitions into queryable MCP servers, enabling natural language queries about field meanings, data lineage, and structure.

## Trust

- **Trust score (0–1):** 0.31
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ejhyxxpyxj)
- **Repository:** <https://github.com/LaurEars/struct-mcp>

## 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": "laurears-struct-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/laurears-struct-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/laurears-struct-mcp/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