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STF Dados Abertos MCP Server for LangChainGive LangChain instant access to 9 tools to Get Group, Get Organization, Get Package, and more

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LangChain is the leading Python framework for composable LLM applications. Connect STF Dados Abertos through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The STF Dados Abertos MCP Server for LangChain is a standout in the Knowledge Management category — giving your AI agent 9 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({
        "stf-dados-abertos": {
            "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 STF Dados Abertos, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
STF Dados Abertos
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
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 STF Dados Abertos MCP Server

Connect your AI agent to the STF Dados Abertos portal and explore the transparency data of the Brazilian Supreme Federal Court through natural language.

LangChain's ecosystem of 500+ components combines seamlessly with STF Dados Abertos through native MCP adapters. Connect 9 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

  • Dataset Discovery — List all available datasets (packages) and search for specific legal or administrative topics using keywords.
  • Resource Inspection — Fetch detailed metadata for specific files, data links, and resources within a dataset to understand their structure.
  • DataStore Querying — Perform SQL-like queries directly on DataStore-enabled resources to extract specific information without downloading large files.
  • Institutional Browsing — Explore the organizations and groups that categorize and maintain the court's open data.
  • Metadata Analysis — Access comprehensive metadata for packages, organizations, and groups to understand data provenance and update frequency.

The STF Dados Abertos MCP Server exposes 9 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 9 STF Dados Abertos tools available for LangChain

When LangChain connects to STF Dados Abertos through Vinkius, your AI agent gets direct access to every tool listed below — spanning brazil-law, legal-transparency, stf, 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.

get

Get group on STF Dados Abertos

Get group details

get

Get organization on STF Dados Abertos

Get organization details

get

Get package on STF Dados Abertos

Get dataset details

get

Get resource on STF Dados Abertos

Get resource details

list

List groups on STF Dados Abertos

List groups

list

List organizations on STF Dados Abertos

List organizations

list

List packages on STF Dados Abertos

List all datasets (packages) in STF Dados Abertos

search

Search datastore on STF Dados Abertos

Query DataStore

search

Search packages on STF Dados Abertos

Search datasets

Connect STF Dados Abertos to LangChain via MCP

Follow these steps to wire STF Dados Abertos into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 9 tools from STF Dados Abertos via MCP

Why Use LangChain with the STF Dados Abertos MCP Server

LangChain provides unique advantages when paired with STF Dados Abertos through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine STF Dados Abertos MCP tools with 500+ LangChain components

02

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

03

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

04

Memory and conversation persistence let agents maintain context across STF Dados Abertos queries for multi-turn workflows

STF Dados Abertos + LangChain Use Cases

Practical scenarios where LangChain combined with the STF Dados Abertos MCP Server delivers measurable value.

01

RAG with live data: combine STF Dados Abertos tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query STF Dados Abertos, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain STF Dados Abertos tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every STF Dados Abertos tool call, measure latency, and optimize your agent's performance

Example Prompts for STF Dados Abertos in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with STF Dados Abertos immediately.

01

"List all available datasets in the STF Dados Abertos portal."

02

"Search for datasets related to 'votações'."

03

"Get the details and resources for the dataset 'folha-de-pagamento'."

Troubleshooting STF Dados Abertos MCP Server with LangChain

Common issues when connecting STF Dados Abertos to LangChain through Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

STF Dados Abertos + LangChain FAQ

Common questions about integrating STF Dados Abertos MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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