How to Use the Aracaju MCP in Vercel AI SDK

Stream Aracaju's municipal transparency data directly into your frontend with the Vercel AI SDK.

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Connect Aracaju MCP to Vercel AI SDK

Create your Vinkius account to connect Aracaju 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 Aracaju with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Render municipal data with the Vercel AI SDK.

The `list_revenues` and `list_expenses` tools feed raw financial data directly into your frontend components. Streaming matters here. Instead of making users wait for heavy municipal queries to finish, the SDK streams the numbers in real-time so your charts render instantly.

Build transparent contract dashboards.

Your application calls `list_bids` and `list_contracts` via this MCP Server to expose public procurement details. End users see the exact status of municipal agreements appearing live in their browser. Edge compatibility means you run these lookups close to the user without server bottlenecks.

Expose public payroll instantly.

Developers use the `list_personnel` tool to pull salary and servant records for the city of Aracaju. Passing these results to `generateText` or `streamText` allows your React app to generate formatted payroll tables on the fly. You just map the streamed JSON to your table rows.

Setup guide

Set up Aracaju 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 Aracaju 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 Aracaju transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Aracaju Transparency. 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.

Why Choose Vinkius

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Common questions about Aracaju MCP in Vercel AI SDK

Install both the ai and @ai-sdk/mcp packages. You instantiate the connection using createMCPClient with your HTTP transport URL.

Yes. Call mcpClient.tools() to grab the tools, then pass them into streamText. The UI updates as the city data arrives.

You've got to call mcpClient.close() when your query finishes. Failing to do so leaves dangling connections in your Edge environment.

Vinkius manages the auth layer. You only supply your endpoint token via the authProvider configuration in your client setup.

This service strictly reads public transparency records like payroll, bids, and municipal expenses. Vinkius runs the query in a V8 Isolate Sandbox, destroying the environment immediately after the Vercel AI SDK connection closes.

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