Bring Brazil Law
to Pydantic AI
Learn how to connect STF Dados Abertos to Pydantic AI and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
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 Pydantic AI?
Pydantic AI validates every STF Dados Abertos tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your STF Dados Abertos integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your STF Dados Abertos connection logic from agent behavior for testable, maintainable code
STF Dados Abertos in Pydantic AI
STF Dados Abertos and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect STF Dados Abertos to Pydantic AI 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 Pydantic AI
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 Pydantic AI 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 Pydantic AI
Every tool call from Pydantic AI 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 Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your STF Dados Abertos MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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