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How to Use the ALESP (Assembleia SP) MCP in Mastra AI

Build reliable legislative workflows using Mastra AI and the ALESP MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect ALESP (Assembleia SP) MCP to Mastra AI

Create your Vinkius account to connect ALESP (Assembleia SP) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Run automated ALESP (Assembleia SP) expense audits with Mastra AI

`get_despesas_gabinetes` lets your Mastra agents pull cabinet spending figures for any state deputy through this MCP Server. The workflow engine evaluates these costs against custom thresholds to flag anomalies. If the initial API fetch fails due to a network hiccup, Mastra's built-in exponential backoff retries the tool call automatically. You write the logic once, and the agent handles the rest without crashing.

Build multi-step legislative tracking pipelines

`get_documento_andamento` feeds the history of any bill into your automated workflows. You can branch your logic based on whether a proposal is active or archived. When a bill's status changes, the agent uses `get_documento_autor` to identify the authors. Mastra then triggers a conditional step to alert your team, using human-in-the-loop approval before posting updates.

Monitor committee changes on autopilot

`get_comissoes_membros` checks the current roster of permanent committees in the São Paulo assembly. Your agent compares this list against previous runs to spot sudden membership changes. You can chain this with `get_comissoes_reunioes` to track upcoming hearings. The entire pipeline deploys to your cloud provider with a single command, running on a cron schedule to keep your database synced.

Setup guide

Set up ALESP (Assembleia SP) MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All ALESP (Assembleia SP) tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "alesp-assembleia-sp-mcp-client",
  servers: {
    "alesp-assembleia-sp-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "ALESP (Assembleia SP) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to ALESP (Assembleia SP) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent ALESP (Assembleia SP) transactions"
);
console.log(result.text);

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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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ALESP (Assembleia SP) MCP in Mastra AI

Mastra AI features native automatic retries with exponential backoff. If `get_deputados` or other tools time out, the framework pauses and retries the request behind the scenes before throwing an error.
Yes, you can enforce human-in-the-loop validation. By setting `requireToolApproval` on tools like `get_documento_andamento`, the workflow pauses until an admin approves the action.
Instantiate the `MCPClient` with the Vinkius SSE endpoint URL. Call `mcpClient.listTools()` and spread the resulting tools directly into your agent configuration object.
The agent calls `get_proposituras_zip_url` to get the target URL. You can then write a custom step in your Mastra workflow to download and parse the ZIP payload asynchronously.
Your data remains ephemeral within the Vinkius V8 Isolate sandbox during MCP execution. Neither deputy profiles from `get_deputados` nor expense reports are cached on Vinkius servers, ensuring strict data isolation during execution.

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