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

Deploy a specialized crew of agents with Câmara dos Deputados (v2) to monitor Brazil's legislative activity autonomously.

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Connect Câmara dos Deputados (v2) MCP to CrewAI

Create your Vinkius account to connect Câmara dos Deputados (v2) to CrewAI 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 CrewAI

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Autonomous parliamentary crews in CrewAI

Assign agents to watch specific organs using `list_orgao_membros`. One agent gathers the agenda, while another analyzes the impact. They share context to ensure your research stays consistent. It handles the collaboration so your agents don't duplicate work.

Multi-agent legislative oversight

Let your CrewAI agents use `list_proposicoes` to track new bills. They filter the noise and report only what matters to your research goals. This removes the need for manual monitoring. You get a steady stream of relevant updates delivered by your crew.

Collaborative voting analysis

Deploy a crew to cross-reference `list_votacao_votos` with deputy profiles. They build a map of how parties align on specific issues. Each agent takes a role in the process. It turns raw voting data into a clear picture of political alliances.

Setup guide

Set up Câmara dos Deputados (v2) MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Câmara dos Deputados (v2) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Câmara dos Deputados (v2) Analyst",
    goal="Access and analyze Câmara dos Deputados (v2) data via MCP.",
    backstory="Expert analyst with direct Câmara dos Deputados (v2) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Câmara dos Deputados (v2) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Câmara dos Deputados (v2) Analyst",
        goal="Access and analyze Câmara dos Deputados (v2) data via MCP.",
        backstory="Expert analyst with direct Câmara dos Deputados (v2) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Câmara dos Deputados (v2) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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 CrewAI

You simply add the server URL to the agent's MCP configuration. The agents then have access to the full suite of legislative tools.

Yes, the agents utilize shared memory to maintain context. If one agent fetches a list of deputies, the others can act on that information immediately.

The tools hit the official API directly. Your agents work with the same information the public sees, just processed much faster.

Vinkius manages the load. Your agents can fire off multiple requests without hitting rate limits on the government side.

We enforce strict data isolation. Your voting records are processed within the sandbox and are never stored or exposed to other users.

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