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

Index live judicial records into your LlamaIndex knowledge base using the CNJ (Datajud API Pública) MCP server.

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Connect CNJ (Datajud API Pública) MCP to LlamaIndex

Create your Vinkius account to connect CNJ (Datajud API Pública) to LlamaIndex 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 LlamaIndex

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Ground your RAG app with Datajud records

Use `search_process_by_number` to pull case details that LlamaIndex then indexes into a vector store. You stop relying on generic LLM knowledge and start querying live judicial documents. This creates a grounded knowledge base where every answer is backed by an actual court record. Your bot cites the specific API response whenever it answers a question about a case.

Index advanced search results in LlamaIndex

Run `search_processes_advanced` to capture specific segments of the Datajud database. You take those results and feed them into your index for semantic searching across thousands of cases. Your agent finds relationships between cases that aren't obvious at first glance. It indexes the API output so you can ask questions about trends across years of legal filings.

Map court organs to your knowledge graph

Use `search_processes_by_class_and_organ` to retrieve data structured by court department. LlamaIndex then builds a map of these entities to help your agent understand the judicial hierarchy. This allows you to ask targeted questions about specific courts. Your knowledge base stays updated with the latest procedural classifications provided by the API.

Setup guide

Set up CNJ (Datajud API Pública) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all CNJ (Datajud API Pública) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to CNJ (Datajud API Pública) tools.",
)
response = await agent.run("List recent CNJ (Datajud API Pública) data")

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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 LlamaIndex

You invoke the tools during your ingestion pipeline to pull records. LlamaIndex then turns those specific JSON responses into vector embeddings for your search index.

Once indexed, yes. You query your vector store, and the agent retrieves the relevant API data to construct a factual response.

It provides the ground truth. By indexing the live API data, you remove the guesswork and provide your agent with verified records.

You handle the connection via the MCP client. It stays open as long as your indexing job requires.

It accesses public procedural metadata, case status updates, and court organ classifications. None of this data is sensitive or confidential as it comes directly from public government databases.

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