How to Use the CNJ (Datajud API Pública) MCP in OpenAI Agents SDK

Get direct access to Brazilian judicial records inside your OpenAI Agents SDK production environment.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect CNJ (Datajud API Pública) MCP to OpenAI Agents SDK

Create your Vinkius account to connect CNJ (Datajud API Pública) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup CNJ (Datajud API Pública) with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Pull specific case files in OpenAI Agents SDK

You can grab any legal process by its unique CNJ identifier using `search_process_by_number`. It connects your agent directly to the Datajud API to fetch case details without manual lookups. This keeps your agent logic focused on decision-making rather than browsing. It handles the API handshake so your Python code stays clean.

Run complex filters with OpenAI Agents SDK

The `search_processes_advanced` tool lets you execute raw Elasticsearch queries against the Brazilian registry. You define the query, and the tool returns the exact matches your agent needs to analyze. Use this when your agent requires deep forensic data across specific jurisdictions. It removes the need to write custom scrapers for the Datajud backend.

Map judicial data via OpenAI Agents SDK

Call `search_processes_by_class_and_organ` to group cases by their procedural class or specific court organ. This tool allows your agent to organize large volumes of litigation data into actionable categories. Your agent will identify trends across different courts instantly. It turns raw judicial filings into structured input for your broader safety-checked pipelines.

Setup guide

Set up CNJ (Datajud API Pública) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all CNJ (Datajud API Pública) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives CNJ (Datajud API Pública) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate CNJ (Datajud API Pública) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="CNJ (Datajud API Pública) Agent",
            instructions="You have access to CNJ (Datajud API Pública) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CNJ Datajud. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect CNJ (Datajud API Pública) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about CNJ (Datajud API Pública) MCP in OpenAI Agents SDK

You initialize the connection by passing the server endpoint to the MCPServerStreamableHttp class. Once added to your agent constructor, the SDK handles the tool discovery automatically.

Yes. Since the tools are exposed as native functions, your existing guardrails will validate the agent's calls before the server executes any search.

Absolutely. You can store the results from any search tool in your agent's state or vector store to maintain context across long-running sessions.

The server remains active as long as your Vinkius session is live. You should use the cacheToolsList parameter to keep interaction latency low.

The server only transmits public procedural metadata and case numbers. No private sensitive information is stored, and Vinkius uses an isolated sandbox for every request.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript