CNJ (Datajud API Pública) MCP Server for LlamaIndexGive LlamaIndex instant access to 3 tools to Search Process By Number, Search Processes Advanced, Search Processes By Class And Organ
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CNJ (Datajud API Pública) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The CNJ (Datajud API Pública) MCP Server for LlamaIndex is a standout in the Data Management category — giving your AI agent 3 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to CNJ (Datajud API Pública). "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in CNJ (Datajud API Pública)?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine CNJ (Datajud API Pública) tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire CNJ (Datajud API Pública) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the CNJ (Datajud API Pública) MCP Server
LlamaIndex provides unique advantages when paired with CNJ (Datajud API Pública) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine CNJ (Datajud API Pública) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain CNJ (Datajud API Pública) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query CNJ (Datajud API Pública), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what CNJ (Datajud API Pública) tools were called, what data was returned, and how it influenced the final answer
CNJ (Datajud API Pública) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the CNJ (Datajud API Pública) MCP Server delivers measurable value.
Hybrid search: combine CNJ (Datajud API Pública) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query CNJ (Datajud API Pública) to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying CNJ (Datajud API Pública) for fresh data
Analytical workflows: chain CNJ (Datajud API Pública) queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for CNJ (Datajud API Pública) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting CNJ (Datajud API Pública) to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCNJ (Datajud API Pública) + LlamaIndex FAQ
Common questions about integrating CNJ (Datajud API Pública) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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