# ai.ezel/ezel

> Use this tool when you need to research and analyze U.S. case law, retrieve relevant court opinions, or ask targeted legal questions related to your documents. It solves problems such as finding precedents, understanding legal context, and identifying relevant case law for legal professionals and researchers. The tool accepts documents and legal queries as input and provides informative opinions and answers as output.

Canonical page: https://skillsregistry.net/skills/ai-ezel-ezel  
JSON: https://api.skillsregistry.net/v1/skills/ai-ezel-ezel

## Description

Search U.S. case law, fetch opinions, and ask matter-aware legal questions over your documents.

## 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:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.ezel%2Fezel)

## Use it

MCP endpoint published by the skill: `https://app.ezel.ai/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": "ai-ezel-ezel"
    }
  }
}
```

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