Bring Entity Extraction
to Vercel AI SDK
Learn how to connect Brazilian Judiciary Dictionary Engine to Vercel AI SDK and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
Compatible with every major AI agent and IDE
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 Vercel AI SDK?
The Vercel AI SDK gives every Brazilian Judiciary Dictionary Engine tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 1 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Brazilian Judiciary Dictionary Engine integration everywhere
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Built-in streaming UI primitives let you display Brazilian Judiciary Dictionary Engine tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Brazilian Judiciary Dictionary Engine in Vercel AI SDK
Brazilian Judiciary Dictionary Engine and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Brazilian Judiciary Dictionary Engine to Vercel AI SDK 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 Vercel AI SDK
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 Vercel AI SDK 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 Vercel AI SDK
Every tool call from Vercel AI SDK 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 the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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