How to Use the Câmara dos Deputados (v2) MCP in Pydantic AI

Enforce strict runtime validation on Brazilian legislative data using Pydantic AI and this dedicated MCP server.

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Connect Câmara dos Deputados (v2) MCP to Pydantic AI

Create your Vinkius account to connect Câmara dos Deputados (v2) to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Câmara dos Deputados (v2) with Pydantic AI

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Type-Safe Expense Audits via MCP Server

This MCP Server exposes Brazilian Chamber of Deputies financial records with strict schema enforcement. When your agent calls `list_deputado_despesas`, it receives raw receipt data that must match your predefined Pydantic models. Silent failures ruin data pipelines. If the government API changes a field name in the expense payload, Pydantic AI throws a strict validation error immediately, saving your database from corrupted entries.

Validate Legislative Votes

Mapping out how deputies vote requires absolute precision. Your system calls `list_votacao_votos` to retrieve the nominal cast votes for any specific session. Model-agnostic design gives you flexibility. You can run this exact data extraction using a local model or a hosted provider, knowing the framework guarantees the output structure of every single vote record.

Map Party Affiliations

Tracking politicians as they switch parties demands accurate historical queries. The agent uses `list_partido_membros` to pull current and past affiliations. You define the exact shape of the expected response in Python. The framework parses the returned list of deputies and immediately flags any missing ID fields before your application processes the data further.

Setup guide

Set up Câmara dos Deputados (v2) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "camara-dos-deputados-v2-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Câmara dos Deputados (v2) tools.",
)

result = await agent.run("List recent Câmara dos Deputados (v2) transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Câmara dos Deputados. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Câmara dos Deputados (v2) MCP in Pydantic AI

Use the unified MCPToolset class with your Vinkius HTTP endpoint. Pass the resulting MCP Server toolset into the toolsets parameter when defining your Agent.

You likely hit a validation error. If the government API returns a string where your Pydantic model expected an integer for a deputy ID, the framework intentionally crashes to prevent bad data ingestion.

Yes. The framework separates the tool execution from the LLM provider. You can route the retrieved legislative data to any compatible local model.

No. That class is deprecated. You must use the new MCPToolset implementation to connect properly.

Every request for a politician's speeches or expense reports runs inside an isolated Vinkius sandbox. We tear down the execution environment the millisecond the data transfers, ensuring nobody can intercept your research targets.

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