### Install dependencies

Source: https://github.com/pdmtt/brlaw_mcp_server/blob/main/README.md

Install project dependencies using uv. Ensure uv is installed or use Python's pip.

```bash
uv run patchright install
```

--------------------------------

### Install Dependencies with Patchright

Source: https://context7.com/pdmtt/brlaw_mcp_server/llms.txt

Clone the repository and install project dependencies, including browser automation tools, using the 'uv' package manager.

```bash
git clone https://github.com/pdmtt/brlaw_mcp_server.git

uv run patchright install
```

--------------------------------

### Search STF Legal Precedents with Wildcard

Source: https://context7.com/pdmtt/brlaw_mcp_server/llms.txt

Example of searching for constitutional privacy rights using the StfLegalPrecedentsRequest tool. Supports wildcard characters in search queries.

```json
{
    "name": "StfLegalPrecedentsRequest",
    "arguments": {
        "summary": "\"princípio da presunção de inocência\"",
        "page": 1
    }
}
```

--------------------------------

### Search STF Legal Precedents with Fuzzy Match

Source: https://context7.com/pdmtt/brlaw_mcp_server/llms.txt

Example of fuzzy searching for case number variations using the StfLegalPrecedentsRequest tool. Supports single character wildcards.

```json
{
    "name": "StfLegalPrecedentsRequest",
    "arguments": {
        "summary": "RE 56394?",
        "page": 1
    }
}
```

--------------------------------

### Initialize MCP Client and List Tools

Source: https://context7.com/pdmtt/brlaw_mcp_server/llms.txt

Initializes the MCP client and lists available tools. Requires the 'mcp' library and asyncio.

```python
import asyncio
from pathlib import Path
from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client

async def search_brazilian_law():
    server_params = StdioServerParameters(
        command="uv",
        args=[
            "--directory",
            "/path/to/brlaw_mcp_server",
            "run",
            "serve",
        ],
    )

    async with (
        stdio_client(server_params) as (read, write),
        ClientSession(read_stream=read, write_stream=write) as client,
    ):
        await client.initialize()

        # List available tools
        tools = await client.list_tools()
        print(f"Available tools: {[t.name for t in tools.tools]}")

        # Search STJ for fraud execution precedents
        results = await client.call_tool(
            "StjLegalPrecedentsRequest",
            {"summary": "fraude execução", "page": 1}
        )

        if not results.isError:
            for content in results.content:
                print(content.text)

asyncio.run(search_brazilian_law())
```

--------------------------------

### Clone the repository

Source: https://github.com/pdmtt/brlaw_mcp_server/blob/main/README.md

Use this command to clone the project repository.

```bash
git clone https://github.com/pdmtt/brlaw_mcp_server.git
```

--------------------------------

### Configure MCP client

Source: https://github.com/pdmtt/brlaw_mcp_server/blob/main/README.md

Configure your MCP client, such as Claude Desktop, to connect to the brlaw_mcp_server. Specify the command and arguments to run the server.

```json
{
  "mcpServers": {
    "brlaw_mcp_server": {
      "command": "uv",
      "args": [
        "--directory",
        "/<path>/brlaw_mcp_server",
        "run",
        "serve"
      ]
    }
  }
}
```

--------------------------------

### Direct Domain Model Usage for Precedent Research

Source: https://context7.com/pdmtt/brlaw_mcp_server/llms.txt

Demonstrates direct usage of domain models for researching precedents across different Brazilian courts (STJ, TST, STF). Requires browser automation utilities.

```python
import asyncio
from brlaw_mcp_server.domain.stj import StjLegalPrecedent
from brlaw_mcp_server.domain.tst import TstLegalPrecedent
from brlaw_mcp_server.domain.stf import StfLegalPrecedent
from brlaw_mcp_server.utils import browser_factory

async def research_precedents():
    async with browser_factory(headless=True) as browser:
        page = await browser.new_page()

        # Search STJ precedents
        stj_results = await StjLegalPrecedent.research(
            page,
            summary_search_prompt="fraude execução",
            desired_page=1
        )

        for precedent in stj_results:
            print(f"STJ: {precedent.summary[:200]}...")

        # Search TST labor precedents
        tst_results = await TstLegalPrecedent.research(
            page,
            summary_search_prompt="adicional de periculosidade",
            desired_page=1
        )

        # Search STF constitutional precedents
        stf_results = await StfLegalPrecedent.research(
            page,
            summary_search_prompt="direito privacidade",
            desired_page=1
        )

asyncio.run(research_precedents())
```

--------------------------------

### Configure MCP Server in Client Application

Source: https://context7.com/pdmtt/brlaw_mcp_server/llms.txt

Configure the MCP server in your client application by specifying the server command and its directory path.

```json
{
  "mcpServers": {
    "brlaw_mcp_server": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/brlaw_mcp_server",
        "run",
        "serve"
      ]
    }
  }
}
```

--------------------------------

### STF Legal Precedents Search Parameters

Source: https://context7.com/pdmtt/brlaw_mcp_server/llms.txt

Employ the StfLegalPrecedentsRequest tool to query the Supremo Tribunal Federal (STF) database. Supports Boolean operators, exact phrase matching, proximity, and fuzzy matching.

```python
# MCP tool call parameters for STF search
{
    "name": "StfLegalPrecedentsRequest",
    "arguments": {
        "summary": "direito E (privacidade OU intimidade)",
        "page": 1
    }
}
```

--------------------------------

### TST Legal Precedents Search Parameters

Source: https://context7.com/pdmtt/brlaw_mcp_server/llms.txt

Utilize the TstLegalPrecedentsRequest tool for searching the Tribunal Superior do Trabalho (TST) database. Supports exact phrase matching using quotes.

```python
# MCP tool call parameters for TST search
{
    "name": "TstLegalPrecedentsRequest",
    "arguments": {
        "summary": "trabalho temporário jornada \"adicional de periculosidade\"",
        "page": 1
    }
}
```

```python
# Example: Search for labor law precedents about temporary work and hazard pay
{
    "name": "TstLegalPrecedentsRequest",
    "arguments": {
        "summary": "\"vínculo empregatício\" terceirização",
        "page": 2
    }
}
```

```python
# Response format (JSON array of precedents):
[
    {
        "summary": "AGRAVO. RECURSO DE REVISTA. TRABALHO TEMPORÁRIO..."
    }
]
```

--------------------------------

### STJ Legal Precedents Search Parameters

Source: https://context7.com/pdmtt/brlaw_mcp_server/llms.txt

Use the StjLegalPrecedentsRequest tool to search the Superior Tribunal de Justiça (STJ) database. Supports basic and complex search queries with Boolean, proximity, and wildcard operators.

```python
# MCP tool call parameters for STJ search
{
    "name": "StjLegalPrecedentsRequest",
    "arguments": {
        "summary": "supermercado e furto e veículo",
        "page": 1
    }
}
```

```python
# Example: Complex search with multiple operators
{
    "name": "StjLegalPrecedentsRequest",
    "arguments": {
        "summary": "((menor ou criança) e infrator) com pena",
        "page": 1
    }
}
```

```python
# Response format (JSON array of precedents):
[
    {
        "summary": "TRIBUTÁRIO E PROCESSUAL CIVIL. RECURSO ESPECIAL..."
    }
]
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.