Bring Entity Extraction
to Cline
Learn how to connect Brazilian Judiciary Dictionary Engine to Cline and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Brazilian Judiciary Dictionary Engine MCP Server?
Language models consistently fail to accurately identify and count legal entity acronyms in large document sets. This engine performs strict, deterministic regex boundary matching against the complete Brazilian judiciary.
What Is Included
- 5 Tribunais Superiores: STF, STJ, TST, TSE, STM
- 6 TRFs: TRF1 through TRF6
- 24 TRTs: TRT1 (RJ) through TRT24 (MS)
- 27 TJs: Every State Court including TJDFT
- 3 TJMs: Tribunais de Justiça Militar (MG, RS, SP)
- Órgãos de Controle: CNJ, CNMP, TCU
- Ministério Público e Advocacia: AGU, MPF, MPT, MPM, MPDFT, DPU, OAB
- Agências Reguladoras: CADE, CVM, BACEN, INPI, INSS, SUSEP, ANATEL, ANVISA, ANS, ANAC, ANEEL, ANP, ANA, ANTT, ANTAQ
What Is NOT Included
This engine covers exclusively the Brazilian judiciary and regulatory apparatus. Courts from other countries (US, UK, EU, etc.) are not included. Use the custom dictionary parameter to add entities from any other jurisdiction.
How It Works
- Pure local regex with word boundary matching — zero AI, zero false positives.
- Results grouped by category (Superior, TRF, TRT, TJ, Regulador, etc.).
- Extensible via custom JSON dictionary for additional entities.
Built-in capabilities (1)
Searches text for known legal entities (courts, tribunals) using a strict offline dictionary
Why Cline?
Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Brazilian Judiciary Dictionary Engine tool calls without waiting for prompts between steps. Connect 1 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.
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Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
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Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
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Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
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Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing
Brazilian Judiciary Dictionary Engine in Cline
Brazilian Judiciary Dictionary Engine and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Brazilian Judiciary Dictionary Engine to Cline through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Brazilian Judiciary Dictionary Engine in Cline
The Brazilian Judiciary Dictionary Engine MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 1 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Cline only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Brazilian Judiciary Dictionary Engine for Cline
Every tool call from Cline to the Brazilian Judiciary Dictionary Engine MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
How does Cline connect to MCP servers?
Cline reads MCP server configurations from its settings panel in VS Code. Add the server URL and Cline discovers all available tools on initialization.
Can Cline run MCP tools without approval?
By default, Cline asks for confirmation before executing tool calls. You can configure auto-approval rules for trusted servers in the settings.
Does Cline support multiple MCP servers at once?
Yes. Configure as many servers as needed. Cline can use tools from different servers within the same autonomous task execution.
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