ALESP (Assembleia SP) MCP Server for CrewAIGive CrewAI instant access to 18 tools to Get Agenda Eventos, Get Comissoes, Get Comissoes Membros, and more

Name: ALESP (Assembleia SP)
Price: 29 USD
Availability: InStock
Rating: 2.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The ALESP (Assembleia SP) MCP Server for CrewAI is a standout in the Data Analytics category — giving your AI agent 18 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="ALESP (Assembleia SP) Specialist",
    goal="Help users interact with ALESP (Assembleia SP) effectively",
    backstory=(
        "You are an expert at leveraging ALESP (Assembleia SP) 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 ALESP (Assembleia SP) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 18 available tools "
        "and what they can do."
    ),
)

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

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About 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.

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.

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.

The ALESP (Assembleia SP) MCP Server exposes 18 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 18 ALESP (Assembleia SP) tools available for CrewAI

When CrewAI connects to ALESP (Assembleia SP) through Vinkius, your AI agent gets direct access to every tool listed below — spanning legislative-data, public-policy, transparency, 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 agenda eventos on ALESP (Assembleia SP)

List upcoming and past events scheduled at the Assembly

get

Get comissoes on ALESP (Assembleia SP)

List permanent committees of the assembly

get

Get comissoes membros on ALESP (Assembleia SP)

List members of the permanent committees

get

Get comissoes reunioes on ALESP (Assembleia SP)

List meetings of the permanent committees

get

Get comissoes votacoes on ALESP (Assembleia SP)

List votes of the permanent committees

get

Get deputados on ALESP (Assembleia SP)

List all state deputies in the current legislature

get

Get despesas gabinetes on ALESP (Assembleia SP)

Optionally provide a year for historical data. List reimbursed expenses for each deputy cabinet

get

Get documento andamento on ALESP (Assembleia SP)

Get full history and status of proposals

get

Get documento andamento atual on ALESP (Assembleia SP)

Get current status of proposals

get

Get documento autor on ALESP (Assembleia SP)

List authors and co-signers for each legislative document

get

Get funcionarios cargos on ALESP (Assembleia SP)

List job history of ALESP staff

get

Get legislacao normas on ALESP (Assembleia SP)

List state norms (laws, decrees, resolutions)

get

Get legislacao temas on ALESP (Assembleia SP)

List themes/topics of state norms

get

Get legislacao tipo normas on ALESP (Assembleia SP)

List types of state norms

get

Get lotacoes on ALESP (Assembleia SP)

List current placements (lotações) of ALESP staff

get

Get partidos on ALESP (Assembleia SP)

List political parties participating in the legislative process

get

Get proposituras zip url on ALESP (Assembleia SP)

Get the URL for the comprehensive list of all legislative proposals (ZIP)

get

Get uas on ALESP (Assembleia SP)

List Administrative Units (UAs) of ALESP

Connect ALESP (Assembleia SP) to CrewAI via MCP

Follow these steps to wire ALESP (Assembleia SP) into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

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

Run the crew

Run python crew.py. CrewAI auto-discovers 18 tools from ALESP (Assembleia SP)

Why Use CrewAI with the ALESP (Assembleia SP) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with ALESP (Assembleia SP) through the Model Context Protocol.

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

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

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

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) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the ALESP (Assembleia SP) MCP Server delivers measurable value.

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

Scheduled intelligence reports: set up a crew that periodically queries ALESP (Assembleia SP), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain ALESP (Assembleia SP) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries ALESP (Assembleia SP) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for ALESP (Assembleia SP) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with ALESP (Assembleia SP) immediately.

"List all current state deputies in ALESP."

"Show me the cabinet expenses for the year 2023."

"What are the upcoming or recent committee meetings?"

Troubleshooting ALESP (Assembleia SP) MCP Server with CrewAI

Common issues when connecting ALESP (Assembleia SP) to CrewAI through Vinkius, and how to resolve them.

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.

ALESP (Assembleia SP) + CrewAI FAQ

Common questions about integrating ALESP (Assembleia SP) MCP Server with CrewAI.

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.