# com.rulemesh/compliance

> Use this tool when you need to ensure GDPR compliance in your engineering projects or AI systems, as it provides a streamlined process for pulling relevant rules, implementing them, and submitting evidence of compliance. This tool solves problems related to regulatory adherence, saving time and reducing risk for developers and organizations. It takes in project requirements and outputs compliant implementations with accompanying evidence.

Canonical page: https://skillsregistry.net/skills/com-rulemesh-compliance  
JSON: https://api.skillsregistry.net/v1/skills/com-rulemesh-compliance

## Description

Engineered GDPR compliance for engineers and AI agents: pull rules, implement, submit evidence.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.rulemesh%2Fcompliance)
- **Repository:** <https://github.com/RuleMesh/rulemesh-mcp>

## Use it

MCP endpoint published by the skill: `https://api.rulemesh.com/mcp`

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": "com-rulemesh-compliance"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-rulemesh-compliance` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-rulemesh-compliance/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