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CanLII MCP Server

README.md
# CanLII MCP Server

A local [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server for macOS that lets Claude Desktop search the [CanLII](https://www.canlii.org/) Canadian legal database and read the full text of matching documents.

## What it does

Exposes a single MCP tool — `search_canlii` — that Claude can call to:

1. Search CanLII using either full-text or case-name search
2. Fetch the full text of the top matching documents
3. Return cleaned plain text (no HTML markup) back to Claude

## Tool reference

```
search_canlii(
    query: str,
    search_type: "text" | "name" = "text",
    max_results: int = 5   # 1–10
)
```

| `search_type` | When to use |
|---|---|
| `"text"` | Legal concepts, keywords, or phrases within judgment bodies |
| `"name"` | Case name, document title, file number, author, or citation (e.g. `R v Oakes`, `2024 SCC 12`) |

## Requirements

- macOS
- Python 3.11+
- [uv](https://docs.astral.sh/uv/) — Python package manager
- [Claude Desktop](https://claude.ai/download)

## Installation

**1. Clone the repository**

```bash
git clone <repo-url>
cd canlii_mcp_server
```

**2. Install dependencies and Chromium**

```bash
uv sync
uv run playwright install chromium
```

**3. Add the server to Claude Desktop**

Edit `~/Library/Application Support/Claude/claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "canlii": {
      "command": "/path/to/uv",
      "args": [
        "run",
        "--project",
        "/path/to/canlii_mcp_server",
        "canlii-mcp-server"
      ]
    }
  }
}
```

Replace `/path/to/uv` with the output of `which uv`, and `/path/to/canlii_mcp_server` with the absolute path to this directory.

**4. Restart Claude Desktop**

Fully quit Claude Desktop (menu bar → Quit), then reopen it. The `canlii` server will appear under Settings → Developer.

## Usage

In a Claude Desktop conversation:

> "Search CanLII for cases about reasonable apprehension of bias."

> "Find the case R v Oakes."

> "What does CanLII say about the duty to accommodate in employment law?"

Claude will call `search_canlii` automatically with the appropriate `search_type`.

## How it works

CanLII's website is a JavaScript single-page application — search results are rendered client-side and not available in raw HTML. This server uses [Playwright](https://playwright.dev/) (headless Chromium) to load pages as a real browser would, then extracts clean text with [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup/).

[`playwright-stealth`](https://github.com/Mattwmaster58/playwright_stealth) is applied to each page load to reduce the likelihood of bot detection by CanLII's DataDome protection. Requests are rate-limited to 1.5 seconds between document fetches to avoid triggering blocks.

> **Note:** CanLII's bot protection may occasionally flag automated requests. If Claude reports a "blocked" error, wait an hour and try again.

## Development

**Run unit tests**

```bash
uv run pytest tests/ --ignore=tests/test_smoke.py -v
```

**Run live integration tests** (requires network access to canlii.org)

```bash
uv run pytest tests/test_smoke.py -v -s
```

**Project structure**

```
src/canlii_mcp_server/
    server.py   — MCP server entry point, tool registration
    search.py   — URL builder, search results parser
    fetch.py    — document text extractor, Playwright browser manager
tests/
    test_url_builder.py        — URL building (5 tests)
    test_search_parser.py      — search results parsing (4 tests)
    test_document_extractor.py — document text extraction (5 tests)
    test_smoke.py              — live integration tests (3 tests, manual)
    fixtures/                  — saved CanLII HTML used by unit tests
scripts/
    recon.py           — captures CanLII HTML structure for fixture updates
    recon_document.py  — captures a single document page slowly
```

## Limitations

- **No full-text API:** CanLII does not provide an API that returns document text — only metadata. Playwright scraping is the only viable approach.
- **Bot detection:** CanLII uses DataDome. Occasional temporary blocks are possible.
- **No noteup search:** CanLII's "Noteup/Discussion" search requires a document path as input rather than a free-text query. This search type is not currently supported.
- **English only:** The server searches the English index (`indexLang=en`).

## License

MIT

TDQS

A4.4/5.0

Scored across 1 tool

Disambiguation5/5

Only one tool exists, so there is no possibility of ambiguity or confusion between tools. The tool's purpose is clear and singular.

Naming Consistency5/5

With a single tool, naming consistency is trivially satisfied. 'search_canlii' follows a clear verb_noun pattern and is descriptive.

Tool Count4/5

One tool is minimal but perfectly suited to the narrow purpose of searching the CanLII database. While the typical range is higher, this tool fully covers the intended functionality without being trivial.

Completeness5/5

The search tool provides two essential search modes (text and name) and returns full document text, effectively covering both discovery and retrieval. For a search-only server, this is a complete surface with no obvious dead ends.

Maintenance

ActivityInactive
ResponsivenessNo issues