How to Use the CNJ (Datajud API Pública) MCP in CrewAI

Deploy autonomous agent teams to track, analyze, and organize Brazilian court filings using CrewAI.

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Connect CNJ (Datajud API Pública) MCP to CrewAI

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

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Setup CNJ (Datajud API Pública) with CrewAI

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Multi-agent legal research teams

Your research agent can use the `search_process_by_number` tool to pull raw case data from TRF1 or TJSP directly into your collaborative workspace. This allows you to build a dedicated crew where one agent specializes in retrieving case histories and another analyzes the legal implications. The agent then shares these findings through the crew's common memory. The analyst agent takes over to summarize the lawsuit's status, giving you a complete, multi-perspective legal brief without human intervention.

Deploying the MCP Server with CrewAI agent teams

The `search_processes_advanced` tool lets your lead researcher agent execute complex Elasticsearch queries across the Datajud network. Finding legal precedents across thousands of records is a job for an autonomous crew, not a single script. Instead of a single script choking on raw data, the crew divides the work. One agent handles the search, while a moderator agent validates the relevancy of the returned Brazilian judicial records before saving them.

Autonomous court triage and routing

By calling the `search_processes_by_class_and_organ` tool, your triage agent can identify where a case was filed and what procedural class it belongs to. Categorizing incoming court notices takes hours of manual labor that can easily be automated. Once categorized, the agent passes the record to a specialized responder agent. The entire operation runs autonomously, transforming how your firm monitors and reacts to new filings across different Brazilian jurisdictions.

Setup guide

Set up CNJ (Datajud API Pública) MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke CNJ (Datajud API Pública) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="CNJ (Datajud API Pública) Analyst",
    goal="Access and analyze CNJ (Datajud API Pública) data via MCP.",
    backstory="Expert analyst with direct CNJ (Datajud API Pública) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent CNJ (Datajud API Pública) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="CNJ (Datajud API Pública) Analyst",
        goal="Access and analyze CNJ (Datajud API Pública) data via MCP.",
        backstory="Expert analyst with direct CNJ (Datajud API Pública) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent CNJ (Datajud API Pública) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

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.

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Common questions about CNJ (Datajud API Pública) MCP in CrewAI

You can pass the server's connection URL directly to the agent's configuration. This exposes the judicial search tools only to the agents that need them, keeping other roles focused.

Yes, CrewAI's shared memory system allows agents to pass court record data between tasks. Once the search agent retrieves the file, any other agent in the crew can read and analyze it.

The server supports standard HTTP and SSE transports. You can configure the connection using the CrewAI MCP tools wrapper, allowing your agents to communicate with the court API securely.

Yes. You can use a tool filter during setup to expose only specific tools like case number lookups to certain agents while keeping advanced Elasticsearch queries restricted.

All legal case data retrieved from the Brazilian courts is processed in memory inside a secure V8 isolate. We never store, log, or inspect the lawsuit details or personal information passing through the server.

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