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Senado Federal MCP Server for Pydantic AIGive Pydantic AI instant access to 21 tools to Get Comissao, Get Comissao Composicao, Get Legislatura, and more

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Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Senado Federal through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this MCP Server for Pydantic AI

The Senado Federal MCP Server for Pydantic AI is a standout in the Knowledge Management category — giving your AI agent 21 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Senado Federal "
            "(21 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Senado Federal?"
    )
    print(result.data)

asyncio.run(main())
Senado Federal
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 Senado Federal MCP Server

Connect to the Senado Federal Open Data API to monitor the Brazilian legislative process directly through your AI agent. Get transparency and deep insights into the upper house of the National Congress.

Pydantic AI validates every Senado Federal tool response against typed schemas, catching data inconsistencies at build time. Connect 21 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.

What you can do

  • Senator Profiles — List current senators, those on leave, and access detailed metadata including party affiliations and historical positions.
  • Legislative Proposals (Matérias) — Search for specific proposals, track their current status, and view the complete history of movements and actions.
  • Rapporteur Tracking — Identify which senators are assigned as rapporteurs for specific bills and proposals.
  • Legislative History — Explore current and historical legislatures to understand the evolution of Brazilian law.
  • Mandate Analysis — Inspect the full history of mandates and political roles held by any parliamentarian.

The Senado Federal MCP Server exposes 21 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 21 Senado Federal tools available for Pydantic AI

When Pydantic AI connects to Senado Federal through Vinkius, your AI agent gets direct access to every tool listed below — spanning legislative-data, transparency, public-policy, 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 comissao on Senado Federal

Get detailed information about a specific committee

get

Get comissao composicao on Senado Federal

Get current members of a committee

get

Get legislatura on Senado Federal

Get details of a specific legislature

get

Get legislatura atual on Senado Federal

Get details of the current legislature

get

Get materia on Senado Federal

Get detailed information about a specific proposal

get

Get materia movimentacoes on Senado Federal

Get history of actions on a proposal

get

Get materia relatorias on Senado Federal

Get rapporteurs assigned to a proposal

get

Get senador on Senado Federal

Get detailed information about a specific senator

get

Get senador cargos on Senado Federal

Get positions held by a senator

get

Get senador filiacoes on Senado Federal

Get party affiliations of a senator

get

Get senador mandatos on Senado Federal

Get mandates held by a senator

get

Get votacao on Senado Federal

Get details of a specific vote

list

List agenda reuniao on Senado Federal

List scheduled committee meetings

list

List agenda sessao on Senado Federal

List scheduled sessions

list

List comissoes on Senado Federal

List all committees

list

List legislaturas on Senado Federal

List all legislatures

list

List materias atualizacoes on Senado Federal

List recently updated legislative proposals

list

List materias tipos on Senado Federal

g., PL, PEC). List types of legislative proposals

list

List senadores afastados on Senado Federal

List senators currently on leave

list

List senadores atual on Senado Federal

List senators currently in office

list

List votacoes on Senado Federal

List recent votes

Connect Senado Federal to Pydantic AI via MCP

Follow these steps to wire Senado Federal into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 21 tools from Senado Federal with type-safe schemas

Why Use Pydantic AI with the Senado Federal MCP Server

Pydantic AI provides unique advantages when paired with Senado Federal through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Senado Federal integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Senado Federal connection logic from agent behavior for testable, maintainable code

Senado Federal + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Senado Federal MCP Server delivers measurable value.

01

Type-safe data pipelines: query Senado Federal with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Senado Federal tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Senado Federal and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Senado Federal responses and write comprehensive agent tests

Example Prompts for Senado Federal in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Senado Federal immediately.

01

"List all senators currently in office."

02

"Get the details and summary of legislative proposal ID 150000."

03

"Show the party affiliation history for senator ID 500."

Troubleshooting Senado Federal MCP Server with Pydantic AI

Common issues when connecting Senado Federal to Pydantic AI through Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Senado Federal + Pydantic AI FAQ

Common questions about integrating Senado Federal MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Senado Federal MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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