# courtlistener-mcp

> courtlistener-mcp — vaquill-ai-courtlistener-mcp. Use this tool when you need to access comprehensive US court data and federal regulations for legal research, analysis, or automation tasks. It provides AI assistants with a unified interface to retrieve court opinions, dockets, and regulations through the CourtListener API v4. Ideal for use cases requiring authenticated access to legal databases, such as judicial opinion analysis or regulatory compliance checks.

Canonical page: https://skillsregistry.net/skills/vaquill-ai-courtlistener-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vaquill-ai-courtlistener-mcp

## Description

An MCP server that provides AI assistants access to the CourtListener legal database (US court opinions, dockets, RECAP, PACER, oral arguments, judges) and the full eCFR federal regulations via the official CourtListener API v4. It supports bring-your-own-key authentication and is designed for use with MCP-compatible clients like Claude, VS Code, and Cursor.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **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/mewuaw6y6p)
- **Repository:** <https://github.com/Vaquill-AI/courtlistener-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": "vaquill-ai-courtlistener-mcp"
    }
  }
}
```

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