Aracaju MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 5 tools to List Bids, List Contracts, List Expenses, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Aracaju through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The Aracaju MCP Server for Vercel AI SDK is a standout in the Data Analytics category — giving your AI agent 5 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Aracaju, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Aracaju MCP Server
Connect to the Aracaju Transparency Portal to audit and analyze public data from the capital of Sergipe, Brazil. This server allows any AI agent to query municipal financial records and administrative data in real-time.
The Vercel AI SDK gives every Aracaju tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Revenues & Income — List and analyze municipality revenues by fiscal year and month to track tax collection and transfers.
- Public Spending — Query detailed expenses (despesas) by year or specific government bodies to monitor how public funds are allocated.
- Tenders & Bids — Access information on public tenders (licitações) to stay informed about government procurement processes.
- Contracts — Inspect signed contracts and agreements between the municipality and third parties.
- Personnel & Payroll — Retrieve data regarding public servants and payroll (servidores) to ensure administrative transparency.
The Aracaju MCP Server exposes 5 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 5 Aracaju tools available for Vercel AI SDK
When Vercel AI SDK connects to Aracaju through Vinkius, your AI agent gets direct access to every tool listed below — spanning transparency, public-spending, aracaju, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
List bids on Aracaju
List public tenders and bids (licitações)
List contracts on Aracaju
List signed contracts (contratos)
List expenses on Aracaju
List municipality expenses (despesas)
List personnel on Aracaju
List public servants and payroll (servidores)
List revenues on Aracaju
List municipality revenues (receitas)
Connect Aracaju to Vercel AI SDK via MCP
Follow these steps to wire Aracaju into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Aracaju MCP Server
Vercel AI SDK provides unique advantages when paired with Aracaju through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Aracaju integration everywhere
Built-in streaming UI primitives let you display Aracaju tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Aracaju + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Aracaju MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Aracaju in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Aracaju tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Aracaju capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Aracaju through natural language queries
Example Prompts for Aracaju in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Aracaju immediately.
"List the revenues for Aracaju in January 2024."
"Show me the latest public bids in the city."
"What are the expenses for the health department in 2023?"
Troubleshooting Aracaju MCP Server with Vercel AI SDK
Common issues when connecting Aracaju to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAracaju + Vercel AI SDK FAQ
Common questions about integrating Aracaju MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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