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MCP Juridico Brasil: MCP server, setup and security

MCP Juridico Brasil is an open-source MCP server published on GitHub that lets an AI agent query Brazilian court cases proceedings summaries and deadlines in business days. Its repository has 120 stars and its last commit is from October 23, 2026 and it is licensed under MIT.

Score
66/100
Adoption (stars) 21/40
Maintenance 30/30
Framework (licence, registry, official) 15/30
Actively maintained

What MCP Juridico Brasil does

According to its repository: “Processos judiciais brasileiros via DataJud CNJ: consulta, andamentos, resumo e prazos em dias úteis”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. MCP Juridico Brasil is listed under Other integrations, a category of 194 servers in the directory, where it ranks #70 by stars.

Installing and connecting MCP Juridico Brasil

Distribution modes declared in the official MCP registry:

  • PyPI package (Python, started with uvx or pip)

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to MCP Juridico Brasil. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on June 22, 2026, the DeHor-Labs/mcp-juridico-brasil repository has 120 stars and 28 forks, with 5 open issues. It has more stars than 70% of the servers in the directory. It received changes this month. Version published in the registry: 0.1.0 (October 17, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Server everythingServer everything : 91.5K91.5KCompiler ExplorerCompiler Explorer : 19.1K19.1KMobilerunMobilerun : 9.8K9.8KLicensed House PaintersLicensed House Painters : 7.4K7.4KYouTubeYouTube : 5.8K5.8KDraw.ioDraw.io : 5.7K5.7KFluxDownFluxDown : 5K5KMCP obsidianMCP obsidian : 4.5K4.5KMCP Juridico BrasilMCP Juridico Brasil : 120120
GitHub stars of the most followed servers in the category (log scale); MCP Juridico Brasil in orange. Checked October 25, 2026.

Verdict

MCP Juridico Brasil is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Permissive licence (MIT)

Frequently asked questions

How do I install MCP Juridico Brasil?

MCP Juridico Brasil is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of DeHor-Labs/mcp-juridico-brasil.

Is MCP Juridico Brasil free?

The code is published under the MIT licence and can be used free of charge.

Is MCP Juridico Brasil safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by DeHor-Labs on GitHub. Check who maintains it before giving it access.

What are the alternatives to MCP Juridico Brasil?

In the same category: Azure MCP Server, Draw.io, Compiler Explorer, and Mobilerun. Azure MCP Server and Draw.io score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score