CNJ (Datajud API Pública) MCP Server for LangChainGive LangChain instant access to 3 tools to Search Process By Number, Search Processes Advanced, Search Processes By Class And Organ

Name: CNJ (Datajud API Pública)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect CNJ (Datajud API Pública) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The CNJ (Datajud API Pública) MCP Server for LangChain is a standout in the Data Management category — giving your AI agent 3 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "cnj-datajud-api-publica": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using CNJ (Datajud API Pública), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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EU AI ActCompliant

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About CNJ (Datajud API Pública) MCP Server

Connect to the CNJ Datajud Public API to perform deep searches across the Brazilian judicial system. This server allows AI agents to retrieve detailed metadata about lawsuits, court movements, and procedural history directly from the official national database.

LangChain's ecosystem of 500+ components combines seamlessly with CNJ (Datajud API Pública) through native MCP adapters. Connect 3 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Search by CNJ Number — Retrieve full details of a specific lawsuit using its unique unformatted numbering and the target court alias.
Class & Organ Filtering — Find processes categorized by their Procedural Class (TPU) and specific Court Organ codes.
Advanced Elasticsearch Queries — Execute complex searches using the full power of Elasticsearch Query DSL to filter by dates, parties, or specific metadata fields.
Court Coverage — Access data from various courts including TRFs, TJs, TST, and more via their respective API aliases.

The CNJ (Datajud API Pública) MCP Server exposes 3 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 3 CNJ (Datajud API Pública) tools available for LangChain

When LangChain connects to CNJ (Datajud API Pública) through Vinkius, your AI agent gets direct access to every tool listed below — spanning judicial-records, brazil-law, procedural-data, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

Search process by number on CNJ (Datajud API Pública)

g., api_publica_trf1, api_publica_tjsp). Search for a specific judicial process by its CNJ number

Search processes advanced on CNJ (Datajud API Pública)

Execute an advanced Elasticsearch query against the Datajud API

Search processes by class and organ on CNJ (Datajud API Pública)

Search processes by Procedural Class and Court Organ

Connect CNJ (Datajud API Pública) to LangChain via MCP

Follow these steps to wire CNJ (Datajud API Pública) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 3 tools from CNJ (Datajud API Pública) via MCP

Why Use LangChain with the CNJ (Datajud API Pública) MCP Server

LangChain provides unique advantages when paired with CNJ (Datajud API Pública) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine CNJ (Datajud API Pública) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across CNJ (Datajud API Pública) queries for multi-turn workflows

CNJ (Datajud API Pública) + LangChain Use Cases

Practical scenarios where LangChain combined with the CNJ (Datajud API Pública) MCP Server delivers measurable value.

RAG with live data: combine CNJ (Datajud API Pública) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query CNJ (Datajud API Pública), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain CNJ (Datajud API Pública) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every CNJ (Datajud API Pública) tool call, measure latency, and optimize your agent's performance

Example Prompts for CNJ (Datajud API Pública) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with CNJ (Datajud API Pública) immediately.

"Search for process number 50012345620234036100 in the TRF3 public API."

"List 5 processes from TJDFT with class code 1116 and organ code 12345."

"Run an advanced search in TST for processes moved in the last 7 days."

Troubleshooting CNJ (Datajud API Pública) MCP Server with LangChain

Common issues when connecting CNJ (Datajud API Pública) to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

CNJ (Datajud API Pública) + LangChain FAQ

Common questions about integrating CNJ (Datajud API Pública) MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.