Bring Brazil Politics
to CrewAI
Learn how to connect Câmara dos Deputados (v2) to CrewAI and start using 49 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Câmara dos Deputados (v2) MCP Server?
Connect to the Chamber of Deputies Open Data API to monitor the Brazilian legislative branch. This server allows AI agents to query detailed information about deputies, their spending, and their political performance through natural conversation.
What you can do
- Deputy Profiles — Search for deputies by name, party, state, or legislature and get full biographical details.
- Expense Tracking (CEAP) — Monitor the use of the Parliamentary Quota (CEAP), filtering by year, month, and supplier CNPJ.
- Legislative Activity — Access transcripts of speeches, participation in events, and membership in committees or organs.
- Political Affiliations — List parliamentary fronts and historical mandate data for any deputy.
- Professional Background — Inspect declared professions and previous occupations of elected officials.
How it works
- Subscribe to this server
- No API key is required as it uses public open data
- Start auditing legislative data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Journalists & Researchers — quickly extract spending data and speech transcripts for investigative reporting.
- Political Analysts — monitor party movements, committee memberships, and parliamentary front activities.
- Civic Tech Developers — integrate official Brazilian legislative data into transparency tools and dashboards.
Built-in capabilities (49)
Get details of a block
Get details of a specific deputy
Get details of an event
Get details of a parliamentary front
Get details of an organ
Get details of a party
Get details of a proposition
Get details of a specific voting
List active parliamentary blocks
List expenses reimbursed via Parliamentary Quota for a deputy
List transcripts of speeches made by the deputy
List events the deputy participated in
List parliamentary fronts the deputy belongs to
List historical data of the deputy mandates
List professional occupations of the deputy
List committees and other organs the deputy is a member of
List declared professions of the deputy
List deputies (deputados)
Search for expenses across multiple deputies (CEAP)
List deputies present at the event
List organs responsible for the event
List the agenda (items to be discussed/voted) for an event
List votings that occurred during the event
List events (sessions, hearings, meetings)
List members of the parliamentary front
List parliamentary fronts
List members of the Board of Directors for that legislature
List legislatures (four-year periods of parliamentary work)
List current members and their roles in the organ
List votings held within the organ
List organs (Committees, Councils, Board of Directors)
List deputies currently or previously affiliated with the party
List political parties
List authors of the proposition
List other propositions related to this one
List areas of interest/themes associated with the proposition
List history of the proposition progress
List votings related to the proposition
List propositions (projects of law, amendments, etc)
List state abbreviations
List status codes for events
List types of events
List types of organs
List status codes for propositions
List theme codes for propositions
List types of propositions (PEC, PL, etc)
List voting recommendations given by party leaders
List individual votes cast by deputies (for nominal votings)
List votings
Why CrewAI?
When paired with CrewAI, Câmara dos Deputados (v2) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Câmara dos Deputados (v2) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
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
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Câmara dos Deputados (v2) in CrewAI
Câmara dos Deputados (v2) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Câmara dos Deputados (v2) to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Câmara dos Deputados (v2) in CrewAI
The Câmara dos Deputados (v2) 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. All 49 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Câmara dos Deputados (v2) for CrewAI
Every tool call from CrewAI to the Câmara dos Deputados (v2) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I see the expenses of a specific deputy?
Use the list_deputado_despesas tool by providing the Deputy ID. You can further filter by year and month to see exactly how the parliamentary quota was spent.
Is it possible to find deputies from a specific state or political party?
Yes! Use the list_deputados tool and use the siglaUf (for state) or siglaPartido (for party) parameters to filter the results.
Can I read what a deputy said in a specific session?
Yes, the list_deputado_discursos tool retrieves transcripts of speeches made by the deputy, allowing you to review their parliamentary statements.
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.
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.
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.
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.
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.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
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.
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