# US Legal

> Use this tool when you need to research US legislation, track regulatory changes, or analyze court decisions, as it provides access to multiple government legal databases with intelligent relevance scoring and filtering. It solves problems related to legal research, policy analysis, and compliance monitoring by enabling AI assistants to retrieve and rank relevant legal documents. The tool accepts API keys and search queries as inputs and returns ranked search results, making it ideal for use cases in law, government, and education.

Canonical page: https://skillsregistry.net/skills/jamesanz-us-legal  
JSON: https://api.skillsregistry.net/v1/skills/jamesanz-us-legal

## Description

A US legal data MCP server that provides access to multiple government legal databases including Congress.gov for bills and votes, Federal Register for regulatory documents, US Code sections, CourtListener for judicial opinions, and Regulations.gov for public comments. Built by James Sangalli, it implements intelligent relevance scoring algorithms to filter and rank search results across different legal document types, with support for API keys where required and graceful error handling for various government API limitations. The server enables AI assistants to research legislation, track regulatory changes, analyze court decisions, and explore legal precedents, making it useful for legal research, policy analysis, compliance monitoring, and educational applications in law and government.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jamesanz-us-legal)
- **Repository:** <https://github.com/jamesanz/us-legal-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": "jamesanz-us-legal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jamesanz-us-legal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jamesanz-us-legal/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