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

Feed real-time São Paulo legislative data directly into React frontends using Vercel AI SDK.

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Connect ALESP (Assembleia SP) MCP to Vercel AI SDK

Create your Vinkius account to connect ALESP (Assembleia SP) to Vercel AI SDK 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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Build real-time ALESP expense trackers with Vercel AI SDK

`get_despesas_gabinetes` pulls raw cabinet spending data straight into your edge-rendered UI components. Your users watch the numbers populate line-by-line as the LLM processes historical receipts. You don't make your users stare at a loading spinner while fetching heavy financial datasets. Coupling this MCP Server with `streamText` lets you render live markdown tables of deputy expenditures the millisecond the data chunks arrive from the São Paulo assembly.

Track bill progress without blocking the main thread

`get_documento_andamento` and `get_documento_andamento_atual` expose the complete lifecycle of legislative proposals in São Paulo via the MCP Server. You pass these tools into `generateText` to build instant status widgets. Because the client runs smoothly inside Edge Functions, you can deploy lightweight API routes that fetch bill authors via `get_documento_autor`. The system spits out structured JSON containing legislative steps without cold-start delays.

Map out committee votes in active chat components

`get_comissoes_votacoes` delivers raw voting records from permanent legislative panels directly to your application. Your AI client maps these votes to specific political parties fetched through `get_partidos`. By feeding `get_comissoes_membros` into the tool registry, your streaming interface builds visual seating charts of active committees on the fly. Users interact with live data instead of static, outdated PDFs.

Setup guide

Set up ALESP (Assembleia SP) MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all ALESP (Assembleia SP) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent ALESP (Assembleia SP) transactions",
});

console.log(text);
await mcpClient.close();

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 Vercel AI SDK

You manage rate limits by wrapping the MCP client in standard Next.js route segment configs. Since the server runs in a secure sandbox, you can cache the outputs of tools like `get_deputados` at the edge to prevent hitting the assembly's API too hard.
Yes, you can stream metadata about meetings. By calling `get_comissoes_reunioes` inside `streamText`, the LLM formats scheduled meeting times and agendas directly into your UI layout as the data arrives.
Initialize the client using `createMCPClient` pointing to the Vinkius HTTP endpoint. Pass the tools from `mcpClient.tools()` into your `streamText` call, and remember to execute `mcpClient.close()` when the edge runtime finishes.
Yes, you can get the direct bulk download link. The `get_proposituras_zip_url` tool retrieves the URL for the complete ZIP archive of all legislative proposals, which your backend can then download and process.
The MCP Server connection runs through Vinkius's zero-trust V8 sandbox, ensuring your endpoint token remains hidden. No raw expense files or deputy lists retrieved via `get_despesas_gabinetes` are stored on the host, protecting user query privacy.

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