Compatible with every major AI agent and IDE
What is the 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.
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.
How it works
- Subscribe to this server
- (Optional) Enter your STF API Key for higher access limits
- Start querying Brazilian judicial data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Legal Researchers — quickly find and analyze court datasets without manual portal navigation
- Data Journalists — automate the discovery of transparency data and resource updates for reporting
- Developers & Analysts — integrate official STF data into applications using structured metadata and DataStore queries
Built-in capabilities (9)
Get group details
Get organization details
Get dataset details
Get resource details
List groups
List organizations
List all datasets (packages) in STF Dados Abertos
Query DataStore
Search datasets
Why LangChain?
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.
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The largest ecosystem of integrations, chains, and agents. combine STF Dados Abertos MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across STF Dados Abertos queries for multi-turn workflows
STF Dados Abertos in LangChain
STF Dados Abertos and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect STF Dados Abertos to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for STF Dados Abertos in LangChain
The STF Dados Abertos 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. All 9 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
STF Dados Abertos for LangChain
Every tool call from LangChain to the STF Dados Abertos MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I perform SQL-like queries on the court's data files?
Yes! If a resource is integrated into the DataStore, you can use the search_datastore tool with the Resource ID to query the data within the file directly.
How do I find datasets related to a specific legal topic?
Use the search_packages tool. Simply provide a search term (e.g., 'processos' or 'votação') and the agent will return all matching datasets from the portal.
Is it possible to list all organizations that publish data on the STF portal?
Absolutely. Use the list_organizations tool to see all departments and entities, or get_organization to see details and datasets owned by a specific one.
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.
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.
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.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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