How to Use the Câmara dos Deputados (v2) MCP in OpenAI Agents SDK

Q: How does handoff work with Câmara dos Deputados (v2) data in the OpenAI Agents SDK?

You create one agent to fetch data using listdeputadodiscursos. That agent then triggers a handoff, passing the raw speech transcripts to a specialized analysis agent.

Connect the Câmara dos Deputados (v2) directly to your OpenAI Agents SDK production system to track Brazilian legislative data.

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Connect Câmara dos Deputados (v2) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Câmara dos Deputados (v2) to OpenAI Agents SDK 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 OpenAI Agents SDK

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Audit Deputy Expenses via MCP Server

This MCP Server pulls direct financial records from the Brazilian Chamber of Deputies so your agent can audit public spending. You feed the agent a specific politician's ID, and it calls `list_deputado_despesas` to pull every reimbursed receipt. Production systems need reliable data paths. Your OpenAI Agents SDK setup auto-discovers these endpoints, letting you enforce strict guardrails on how the agent queries `list_despesas_cota` before passing the financial breakdown to a specialized auditing agent.

Track Bill Progression

Monitoring Brazilian legislative changes requires fetching real-time proposition histories. Your agent uses `list_proposicoes` to find active bills and `list_proposicao_tramitacoes` to map exactly where they sit in the legislative pipeline. Handoffs make this architecture powerful. One agent scans for new amendments using `list_proposicao_temas`, then routes the raw text to a secondary summarization agent, all tracked perfectly in your OpenAI dashboard.

Analyze Voting Patterns

Finding out how a deputy actually voted means cross-referencing party lines with individual choices. The agent pulls the party recommendation via `list_votacao_orientacoes` and compares it against the cast vote using `list_votacao_votos`. We built this for complex legislative tracking. You get raw roll-call data directly into your Python application, avoiding manual API polling while your agent handles the cross-referencing automatically.

Setup guide

Set up Câmara dos Deputados (v2) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Câmara dos Deputados (v2) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Câmara dos Deputados (v2) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Câmara dos Deputados (v2) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Câmara dos Deputados (v2) Agent",
            instructions="You have access to Câmara dos Deputados (v2) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

Install openai-agents via pip. Initialize MCPServerStreamableHttp with your Vinkius URL and pass it to the Agent constructor in the mcp_servers array.

Yes. Set cacheToolsList=True during initialization. This skips the discovery phase on subsequent runs and speeds up your agent's startup time.

You create one agent to fetch data using list_deputado_discursos. That agent then triggers a handoff, passing the raw speech transcripts to a specialized analysis agent.

The Vinkius MCP Server returns a standard error code. Your agent's built-in guardrails catch the failure, preventing it from hallucinating fake legislative records.

Vinkius executes all requests to the Brazilian Chamber of Deputies in an ephemeral V8 Isolate Sandbox. Your queries for specific deputy IDs and expense records vanish the moment the execution finishes, leaving zero traces on our infrastructure.

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