# Ripplecheck MCP Server

> Ripplecheck MCP Server — sohamkamat28-ripplecheck. Use this tool when you need to manage and migrate warehouse schema changes safely and efficiently. It solves problems related to breaking warehouse DDL by projecting metadata graphs, proving release policies, and generating executable migration plans. The Ripplecheck MCP Server takes warehouse DDL as input and outputs a hash-sealed decision capsule, executable migration DAG, and merge-ready PR evidence pack.

Canonical page: https://skillsregistry.net/skills/sohamkamat28-ripplecheck  
JSON: https://api.skillsregistry.net/v1/skills/sohamkamat28-ripplecheck

## Description

Ripplecheck is a counterfactual schema migration compiler powered by the DataHub MCP Server. Paste breaking warehouse DDL and it projects the metadata graph, proves a bounded release policy, routes an executable migration DAG to owners, writes a hash-sealed decision capsule back to DataHub, and generates a merge-ready PR evidence pack.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s5m27p5qqh)
- **Repository:** <https://github.com/sohamkamat28/ripplecheck>

## 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": "sohamkamat28-ripplecheck"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sohamkamat28-ripplecheck` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sohamkamat28-ripplecheck/pull`

---
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
