How to Use the ALESP (Assembleia SP) MCP in OpenAI Agents SDK
Track legislative spending and proposals directly inside your OpenAI Agents SDK production pipeline.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ALESP (Assembleia SP) MCP to OpenAI Agents SDK
Create your Vinkius account to connect ALESP (Assembleia SP) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Monitor deputy cabinet expenses
Feed your agent real-time cabinet spending data using `get_despesas_gabinetes`. You'll get raw numbers to build your own cost-tracking logic inside the OpenAI Agents SDK environment. Automate the audit trail for every deputy by pulling historical records. The SDK handles the heavy lifting while you define the guardrails for how your agent interprets the budget data.
Query legislative history
Expose `get_documento_andamento` to your agents to track the lifecycle of any bill. Your agent can pull the status of active proposals without you manually checking the portal. Linking these tools within your OpenAI Agents SDK config allows for complex research workflows. Your agent acts on the latest legislative updates as they drop.
Map political committee structures
Use `get_comissoes` and `get_comissoes_membros` to build an internal graph of the assembly. It maps out exactly who sits on which committee and where power resides. This MCP Server provides the raw data your agent needs to correlate voting patterns. You'll see the assembly's structure updated live in your Python code.
Set up ALESP (Assembleia SP) MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all ALESP (Assembleia SP) tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives ALESP (Assembleia SP) tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate ALESP (Assembleia SP) tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="ALESP (Assembleia SP) Agent",
instructions="You have access to ALESP (Assembleia SP) tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ALESP. 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 ALESP (Assembleia SP) MCP in OpenAI Agents SDK
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