TCE-SP (Audesp) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 3 tools to List Despesas, List Municipios, List Receitas

Name: TCE-SP (Audesp)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect TCE-SP (Audesp) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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The TCE-SP (Audesp) MCP Server for Vercel AI SDK is a standout in the Data Analytics category — giving your AI agent 3 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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typescript

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 TCE-SP (Audesp), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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About TCE-SP (Audesp) MCP Server

Connect to the TCE-SP Audesp system to audit and analyze public spending across municipalities in the state of São Paulo. This server provides direct access to the official transparency portal data.

The Vercel AI SDK gives every TCE-SP (Audesp) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 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

Municipality Lookup — List all cities under TCE-SP jurisdiction and retrieve their unique slugs for precise querying
Expense Analysis — Fetch detailed expense (despesas) records for any municipality, filtered by fiscal year and month
Revenue Tracking — Access revenue (receitas) data to monitor municipal collections and budget performance
Fiscal Auditing — Use AI to compare spending patterns and identify fiscal trends across different periods

The TCE-SP (Audesp) MCP Server exposes 3 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 3 TCE-SP (Audesp) tools available for Vercel AI SDK

When Vercel AI SDK connects to TCE-SP (Audesp) through Vinkius, your AI agent gets direct access to every tool listed below — spanning transparency, public-spending, fiscal-data, 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

List despesas on TCE-SP (Audesp)

List expenses for a specific municipality, year, and month

list

List municipios on TCE-SP (Audesp)

List all municipalities under TCE-SP jurisdiction

list

List receitas on TCE-SP (Audesp)

List revenues for a specific municipality, year, and month

Connect TCE-SP (Audesp) to Vercel AI SDK via MCP

Follow these steps to wire TCE-SP (Audesp) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

Save to agent.ts and run with npx tsx agent.ts

Explore tools

The SDK discovers 3 tools from TCE-SP (Audesp) and passes them to the LLM

Why Use Vercel AI SDK with the TCE-SP (Audesp) MCP Server

Vercel AI SDK provides unique advantages when paired with TCE-SP (Audesp) 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 TCE-SP (Audesp) integration everywhere

Built-in streaming UI primitives let you display TCE-SP (Audesp) 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

TCE-SP (Audesp) + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the TCE-SP (Audesp) MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query TCE-SP (Audesp) in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate TCE-SP (Audesp) tools and return structured JSON responses to any frontend

Chatbots with tool use: embed TCE-SP (Audesp) capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with TCE-SP (Audesp) through natural language queries

Example Prompts for TCE-SP (Audesp) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with TCE-SP (Audesp) immediately.

"List all municipalities available in the TCE-SP system."

"Show me the expenses for the municipality of 'santos' in January 2023."

"What were the revenues for 'campinas' in the year 2022, month 12?"

Troubleshooting TCE-SP (Audesp) MCP Server with Vercel AI SDK

Common issues when connecting TCE-SP (Audesp) to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

TCE-SP (Audesp) + Vercel AI SDK FAQ

Common questions about integrating TCE-SP (Audesp) MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import 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?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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