Brazilian Law Research MCP Server

The Brazilian Law Research MCP Server is a specialized bridge that empowers AI assistants to perform deep, authenticated research on Brazil’s legal landscape. By exposing a set of scraping‑enabled tools that query official court databases—such as the National High Court (STJ), the National High Labor Court (TST), and the Supreme Court (STF)—the server transforms raw, publicly available jurisprudence into structured, AI‑ready data. This capability is crucial for developers building legal analytics platforms, compliance monitoring services, or virtual counsel bots that need up‑to‑date case law without manual data collection.

For developers, the server offers a clear value proposition: it eliminates the need to write custom scrapers for each court’s portal, handles pagination and anti‑scraping measures, and returns results in a consistent JSON format that AI models can ingest instantly. The tools accept straightforward criteria—such as keywords, dates, or parties—and return relevant precedents, enabling rapid hypothesis generation and evidence gathering within an AI workflow. Because the data originates from official sources, users can trust its authenticity and accuracy, a critical requirement for legal applications.

Key features include:

• Court‑specific precedent search: three dedicated tools target STJ, TST, and STF repositories, each tailored to the respective portal’s structure.
• Portuguese‑centric resources: prompts and tool descriptions are written in Portuguese to serve non‑technical legal professionals directly.
• Safe scraping practices: the server is designed with rate‑limiting considerations to avoid overloading public servers, protecting both users and source sites.
• Developer‑friendly integration: a simple MCP client configuration allows immediate connection from Claude Desktop or any other compliant model.

Real‑world use cases span law firms automating case research, academic institutions building jurisprudence databases, and compliance teams monitoring judicial trends. In an AI‑driven legal assistant, a user could ask for the latest STJ decisions on labor contract disputes; the model would invoke , receive a concise summary, and present it in natural language—all without leaving the chat interface.

What sets this server apart is its focus on Brazil’s unique legal ecosystem. By providing native support for Portuguese terminology and the three most influential Brazilian courts, it offers a level of contextual relevance that generic scraping tools cannot match. This specialization makes the MCP server an indispensable asset for developers aiming to deliver accurate, timely legal insights through AI assistants.