# LegalCite MCP Server

> Use this tool when you need to verify the accuracy of legal case citations against real court records. It solves problems of hallucinated or misattributed citations by detecting errors and inconsistencies, taking in case citations as input and outputting verification results. Ideal for use in legal research, academic writing, and fact-checking contexts where precision and reliability are crucial.

Canonical page: https://skillsregistry.net/skills/kevinx702-legalcite  
JSON: https://api.skillsregistry.net/v1/skills/kevinx702-legalcite

## Description

Verifies legal case citations against real court records to detect hallucinated or misattributed citations.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c4cy9rg0sn)
- **Repository:** <https://github.com/Kevinx702/legalcite>

## 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": "kevinx702-legalcite"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kevinx702-legalcite` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kevinx702-legalcite/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