Bring Entity Extraction
to OpenAI Agents SDK
Learn how to connect Brazilian Judiciary Dictionary Engine to OpenAI Agents 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 OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 1 tools from Brazilian Judiciary Dictionary Engine through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Brazilian Judiciary Dictionary Engine, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
- —
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
- —
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Brazilian Judiciary Dictionary Engine in OpenAI Agents SDK
Brazilian Judiciary Dictionary Engine and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Brazilian Judiciary Dictionary Engine to OpenAI Agents 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 OpenAI Agents 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 OpenAI Agents 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 OpenAI Agents SDK
Every tool call from OpenAI Agents 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 OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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