Compatible with every major AI agent and IDE
What is the ALESP (Assembleia SP) MCP Server?
Connect to the ALESP (Assembleia Legislativa do Estado de São Paulo) open data portal to monitor legislative activities in real-time. This MCP server allows AI agents to query official information about state deputies, cabinet expenses, committee meetings, and the full lifecycle of legislative proposals.
What you can do
- Deputy Tracking — List all current state deputies and their political affiliations directly from the official registry.
- Financial Transparency — Query reimbursed cabinet expenses for any deputy, with support for historical data by year.
- Legislative Progress — Track the status, authors, and full history of proposals, bills, and other documents.
- Committee Monitoring — Access details about permanent committees, including their members, meetings, and voting records.
- Administrative Data — Inspect the organizational structure, staff placements, and job history within the assembly.
How it works
- Subscribe to this server
- No complex API keys are required for this public data source
- Start auditing legislative transparency from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Journalists & Researchers — quickly gather data on deputy expenses and voting patterns for reporting.
- Legal Professionals — monitor the progress of specific bills and legislative norms in real-time.
- Citizens & Activists — promote transparency by easily accessing public records through natural conversation.
Built-in capabilities (18)
List upcoming and past events scheduled at the Assembly
List permanent committees of the assembly
List members of the permanent committees
List meetings of the permanent committees
List votes of the permanent committees
List all state deputies in the current legislature
Optionally provide a year for historical data. List reimbursed expenses for each deputy cabinet
Get full history and status of proposals
Get current status of proposals
List authors and co-signers for each legislative document
List job history of ALESP staff
List state norms (laws, decrees, resolutions)
List themes/topics of state norms
List types of state norms
List current placements (lotações) of ALESP staff
List political parties participating in the legislative process
Get the URL for the comprehensive list of all legislative proposals (ZIP)
List Administrative Units (UAs) of ALESP
Why CrewAI?
When paired with CrewAI, ALESP (Assembleia SP) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ALESP (Assembleia SP) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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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
ALESP (Assembleia SP) in CrewAI
ALESP (Assembleia SP) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ALESP (Assembleia SP) 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 ALESP (Assembleia SP) in CrewAI
The ALESP (Assembleia SP) 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 18 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
ALESP (Assembleia SP) for CrewAI
Every tool call from CrewAI to the ALESP (Assembleia SP) 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 check the reimbursed expenses for a specific deputy's cabinet?
You can use the get_despesas_gabinetes tool. You can also provide a specific year to retrieve historical expense data.
Is it possible to track the full history of a legislative proposal?
Yes! Use the get_documento_andamento tool to fetch the XML data tracking the full history and status of proposals.
How do I see who are the members of the permanent committees?
Use the get_comissoes_membros tool to list all members currently serving on the assembly's permanent committees.
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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