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Senado Federal MCP Server for CrewAIGive CrewAI instant access to 21 tools to Get Comissao, Get Comissao Composicao, Get Legislatura, and more

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Connect your CrewAI agents to Senado Federal through Vinkius, pass the Edge URL in the `mcps` parameter and every Senado Federal tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Ask AI about this MCP Server for CrewAI

The Senado Federal MCP Server for CrewAI 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

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python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Senado Federal Specialist",
    goal="Help users interact with Senado Federal effectively",
    backstory=(
        "You are an expert at leveraging Senado Federal tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Senado Federal "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 21 available tools "
        "and what they can do."
    ),
)

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

When paired with CrewAI, Senado Federal becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Senado Federal tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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 CrewAI via MCP

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

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 21 tools from Senado Federal

Why Use CrewAI with the Senado Federal MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Senado Federal through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Senado Federal + CrewAI Use Cases

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

01

Automated multi-step research: a reconnaissance agent queries Senado Federal for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Senado Federal, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Senado Federal tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Senado Federal against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Senado Federal in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Senado Federal + CrewAI FAQ

Common questions about integrating Senado Federal MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

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