Native V8 Connector for AI agents.
1 live capability
Extract and count every Brazilian court and regulatory agency from legal documents.
Waiting for input…
Why people use Native V8
Brazilian Judiciary Dictionary Engine for Precise Legal Entity Extraction
This Connector automates the whole process. You just point your agent at the document, and it pulls out every relevant entity. You get a clean breakdown of how many times each court appeared, sorted by category. It turns a two-hour manual task into a five-second scan.
What Vinkius changes
It turns messy legal text into a structured, verified list of Brazilian authorities.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Litigation Bundle Scan
A lawyer needs to know which courts are involved in a 300-page bundle.
- Real-world use case 02
Jurisdictional Analysis
An analyst wants to see how often TRT1 vs TRT2 appears in labor law files to determine concentration.
- Real-world use case 03
Compliance Audit
A corporate officer checks a report for mentions of CVM, BACEN, or CADE.
Complete set · 1capability
The complete Native V8 capability set.
These are the exact actions your AI can choose when you ask it to work with Native V8.
01
1 capability in this set.
Part of 1 available through Native V8.
- 01 Capability
Search legal entities
Searches your text for known Brazilian legal entities using a strict offline dictionary. This gives you a precise count of every court or agency mentioned.
Set up in minutes
One URL. Then ask Native V8 to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Native V8 from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_nVGrOtVSle3rd3ZJsdubKaXkNu6UPUyg7TJgcWW0/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Native V8, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Native V8 for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_nVGrOtVSle3rd3ZJsdubKaXkNu6UPUyg7TJgcWW0/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Native V8 URL.
- Step 03
Save and start
Save the connection and enable Native V8 in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"brazilian-judiciary-dictionary-engine": {
"url": "https://edge.vinkius.com/vk_preview_nVGrOtVSle3rd3ZJsdubKaXkNu6UPUyg7TJgcWW0/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Native V8
Open Agent mode in chat and ask: "Using Native V8, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"brazilian-judiciary-dictionary-engine": {
"url": "https://edge.vinkius.com/vk_preview_nVGrOtVSle3rd3ZJsdubKaXkNu6UPUyg7TJgcWW0/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Native V8
Ask Copilot: "Using Native V8, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"brazilian-judiciary-dictionary-engine": {
"url": "https://edge.vinkius.com/vk_preview_nVGrOtVSle3rd3ZJsdubKaXkNu6UPUyg7TJgcWW0/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Native V8
Open Cascade and ask: "Using Native V8, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"brazilian-judiciary-dictionary-engine": {
"url": "https://edge.vinkius.com/vk_preview_nVGrOtVSle3rd3ZJsdubKaXkNu6UPUyg7TJgcWW0/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Native V8
Ask Cline: "Using Native V8, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add brazilian-judiciary-dictionary-engine --transport http "https://edge.vinkius.com/vk_preview_nVGrOtVSle3rd3ZJsdubKaXkNu6UPUyg7TJgcWW0/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Native V8
Ask Claude: "Using Native V8, show me...". 1 tools are ready
Where the request belongs
Work Native V8 can move forward.
This is for the legal analyst or paralegal who's tired of manually highlighting every time a court is mentioned in a 500-page PDF. It's for people who need 100% accuracy because a hallucinated court name is a liability, not just a typo.
Legal Researcher
Summarizing jurisdictional reach across multiple cases to identify patterns in litigation.
Compliance Officer
Tracking mentions of regulators like CVM or BACEN in corporate compliance reports.
Data Analyst
Normalizing thousands of documents for a large-scale legal database or research project.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsRegex High-Perf Parser
Stop LLM hallucination when extracting entities. Run pure Regex across massive text blocks and guarantee 100% accurate array extraction.
Regex Extractor Engine
Stop LLM hallucination when extracting data. Run pure Regex across massive text blocks and guarantee 100% accurate array extraction without missing a single match.
TextRazor
Advanced Natural Language Processing (NLP) to extract entities, topics, and relations from text or URLs.
Natural Tokenizer Engine
Tokenize text into words, numbers, emails, URLs, emojis, and hashtags deterministically. AI struggles with mixed content. this engine extracts exact linguistic entities instantly.
Justia Legal Intelligence
Universal legal intelligence. search cases, statutes, and lawyers via AI.
Spellbook Legal AI
AI-powered contract drafting and review. analyze contracts, draft clauses, detect risks, and compare against 2,000+ market precedents via Spellbook.
Bring your own AI
Change the model, client or framework. Keep Native V8 connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
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Cline -
Zed -
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Vercel AI SDK
Before you connect
Questions about Native V8.
The practical details behind the request, access and result.
Does the Brazilian Judiciary Dictionary Engine find all types of courts?
Yes, it covers Superior Tribunals, Federal Regional Courts (TRFs), Regional Labor Courts (TRTs), and every State Court (TJs) including TJDFT.
Can I use the Brazilian Judiciary Dictionary Engine for US courts?
No, this Connector is specifically built for the Brazilian judiciary and regulatory apparatus. For other countries, you'll need to use the custom dictionary parameter.
How accurate is the entity detection?
It's extremely accurate because it uses strict regex boundary matching against a pre-indexed list. It doesn't rely on AI inference, so it won't hallucinate court names.
Does the Brazilian Judiciary Dictionary Engine include regulatory bodies?
Yes, it includes major agencies like ANVISA, BACEN, CVM, and CADE, along with others like INPI and ANATEL.
Can I add my own custom agencies to the list?
You can. The Connector supports an extensible custom JSON dictionary if you need to include entities from other jurisdictions or niche bodies.
Will this help me with labor law cases?
Yes, it's particularly useful for identifying TRT mentions to help you determine jurisdictional concentration in labor files.
What exactly is pre-indexed?
The complete Brazilian judiciary: 5 Superior Courts, 6 TRFs, 24 TRTs, 27 TJs (including TJDFT), 3 military TJMs, oversight bodies (CNJ, CNMP, TCU), prosecution and advocacy (AGU, MPF, MPT, MPM, MPDFT, DPU, OAB), and 15 regulatory agencies (CADE, CVM, BACEN, INPI, INSS, SUSEP, ANATEL, ANVISA, ANS, ANAC, ANEEL, ANP, ANA, ANTT, ANTAQ).
Does it cover courts from other countries?
No. This engine covers exclusively the Brazilian legal system. To add courts from other countries, pass a custom JSON dictionary mapping acronyms to full names. Custom entries are tagged separately in the output.
How are results organized?
Each detected entity includes its acronym, full official name, category (Superior, TRF, TRT, TJ, TJM, Controle, MP/Advocacia, Regulador), and exact mention count. A category summary is also provided for quick analysis.
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