How to Use the Câmara dos Deputados (v2) MCP in Vercel AI SDK

Q: How do I fetch voting records using Câmara dos Deputados (v2) in Vercel AI SDK?

You initialize the client and invoke listvotacoes within your generation function. The data streams directly to your interface, allowing for immediate rendering of complex legislative outcomes.

Stream legislative data from Câmara dos Deputados (v2) directly into your Vercel AI SDK frontends for live, reactive UI updates.

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Connect Câmara dos Deputados (v2) MCP to Vercel AI SDK

Create your Vinkius account to connect Câmara dos Deputados (v2) 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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Setup Câmara dos Deputados (v2) with Vercel AI SDK

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Live legislative tracking in Vercel AI SDK

Feed real-time voting results and speech transcripts into your app. Your users watch `list_votacoes` and `list_deputado_discursos` data populate the screen instantly. This MCP Server removes the need for custom backends. You connect your components to the stream and let the data flow.

Automated expense monitoring

Pull Parliamentary Quota spending reports with `list_despesas_cota`. You can build dashboards that show taxpayers exactly where funds go. Your UI updates as the data arrives. It keeps your interface feeling snappy without waiting on traditional database queries.

Deep proposition analysis

Expose the history of law projects using `list_proposicao_tramitacoes`. Your users see the progress of any bill within your React or Next.js layout. Connecting these tools to your frontend provides clarity. It turns raw government data into readable, structured information.

Setup guide

Set up Câmara dos Deputados (v2) 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all Câmara dos Deputados (v2) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 Câmara dos Deputados (v2) transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Câmara dos Deputados. 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 Câmara dos Deputados (v2) MCP in Vercel AI SDK

You initialize the client and invoke `list_votacoes` within your generation function. The data streams directly to your interface, allowing for immediate rendering of complex legislative outcomes.

Absolutely. Since the server delivers JSON, your TypeScript environment handles the types cleanly. You map the tool results to your components without extra transformation layers.

Yes, it works fine in edge environments. You keep your latency low while pulling deputy data directly from the source.

Vinkius handles the auth tunnel. You just pass your endpoint token during the initial connection setup to ensure your requests are private.

The data stays in your local session. We do not store or process your specific search queries, keeping your legislative tracking private.

Use it with your favorite AI tools

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