# io.github.rog0x/schema

> Use this tool when you need to generate JSON Schema, TypeScript types, and mocks for AI agents, solving problems of data validation, type safety, and testing. It takes JSON data as input and outputs corresponding schema, types, and mock data, providing a seamless interface for development and testing. Ideal for use cases involving AI agent development, data integration, and validation.

Canonical page: https://skillsregistry.net/skills/io-github-rog0x-schema  
JSON: https://api.skillsregistry.net/v1/skills/io-github-rog0x-schema

## Description

JSON Schema, TypeScript types, mocks for AI agents

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.rog0x%2Fschema)
- **Repository:** <https://github.com/rog0x/mcp-schema-tools>

## 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": "io-github-rog0x-schema"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-rog0x-schema` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-rog0x-schema/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