# schema-lint-mcp

> Use this tool when you need to validate and enforce consistency in your schema files, solving problems such as inconsistent naming conventions, structural errors, and migration issues. It takes JSON and SQL schemas as input and outputs validation results based on customizable lint rules, utilizing Claude or Gemini AI for analysis. Ideal for use in data engineering and database development contexts where schema integrity is crucial.

Canonical page: https://skillsregistry.net/skills/rebelice-schema-lint-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rebelice-schema-lint-mcp

## Description

Validates schema files against customizable lint rules using Claude or Gemini AI, supporting JSON and SQL schemas with rules for naming, structure, and migration safety.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m5f0fxunhw)
- **Repository:** <https://github.com/rebelice/schema-lint-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": "rebelice-schema-lint-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rebelice-schema-lint-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rebelice-schema-lint-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