# Citation Safe

> Citation Safe — andrewjgaber-commits-citation-safe-mcp. Use this tool when you need to verify the accuracy of legal citations in AI-generated briefs, ensuring compliance with legal standards and reducing errors. Citation Safe solves the problem of unreliable citations by providing a three-layer verification process, taking CourtListener database lookups, quote-matches, and LLM edge-case checks as inputs and producing verified citations as output. It is ideal for use in legal document preparation, particularly when generating briefs using AI tools.

Canonical page: https://skillsregistry.net/skills/andrewjgaber-commits-citation-safe-mcp  
JSON: https://api.skillsregistry.net/v1/skills/andrewjgaber-commits-citation-safe-mcp

## Description

Deterministic legal citation verification for AI-generated legal briefs. Three-layer verification: CourtListener database lookup, quote-match against primary source, and LLM edge-case verification. Free tier available.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wtoqkr0jyr)
- **Repository:** <https://github.com/andrewjgaber-commits/citation-safe-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": "andrewjgaber-commits-citation-safe-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andrewjgaber-commits-citation-safe-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andrewjgaber-commits-citation-safe-mcp/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
