CNJ (Datajud API Pública) MCP Server for CrewAIGive CrewAI 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

Connect your CrewAI agents to CNJ (Datajud API Pública) through Vinkius, pass the Edge URL in the `mcps` parameter and every CNJ (Datajud API Pública) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="CNJ (Datajud API Pública) Specialist",
    goal="Help users interact with CNJ (Datajud API Pública) effectively",
    backstory=(
        "You are an expert at leveraging CNJ (Datajud API Pública) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in CNJ (Datajud API Pública) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 3 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, CNJ (Datajud API Pública) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call CNJ (Datajud API Pública) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 3 tools from CNJ (Datajud API Pública)

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

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with CNJ (Datajud API Pública) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

CNJ (Datajud API Pública) + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries CNJ (Datajud API Pública) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries CNJ (Datajud API Pública), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain CNJ (Datajud API Pública) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries CNJ (Datajud API Pública) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for CNJ (Datajud API Pública) in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

CNJ (Datajud API Pública) + CrewAI FAQ

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

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.