# Openlaw MCP

> Use this tool when you need to conduct reliable AI-assisted legal research with transparent and credible sources. OpenLaw MCP solves the problem of unverifiable AI-generated answers by providing traceable outputs grounded in actual legal materials. It takes in legal research queries and outputs verifiable answers linked to real legal sources, making it ideal for legal professionals and researchers who require trustworthy results.

Canonical page: https://skillsregistry.net/skills/damankaur-dev-openlaw-mcp  
JSON: https://api.skillsregistry.net/v1/skills/damankaur-dev-openlaw-mcp

## Description

OpenLawMCP is an open-source legal AI research tool built to make AI-assisted legal research more reliable.

A major problem with using AI for legal research is that it can give confident answers without showing whether the answer is grounded in real legal sources. For legal work, that creates a credibility problem. Users need answers that can be checked against actual legal material.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m4syubwa2z)
- **Repository:** <https://github.com/damankaur-dev/openlaw-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": "damankaur-dev-openlaw-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/damankaur-dev-openlaw-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/damankaur-dev-openlaw-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