Brasil.io MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 3 tools to Get Table Metadata, List Datasets, Query Table Data
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Brasil.io 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 Brasil.io 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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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 Brasil.io, 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 Brasil.io MCP Server
Connect to Brasil.io, the leading platform for accessible Brazilian public data, and empower your AI agent to analyze real-world datasets through natural conversation.
The Vercel AI SDK gives every Brasil.io 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
- Dataset Discovery — List all available public datasets hosted on the platform, from health data to judicial salaries.
- Metadata Inspection — Fetch detailed schemas and metadata for specific tables to understand available columns and data types.
- Advanced Querying — Retrieve actual data records with powerful filtering capabilities (by state, city, date, etc.) using simple JSON filters.
- Pagination Support — Navigate through large datasets efficiently using built-in pagination controls.
The Brasil.io 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 Brasil.io tools available for Vercel AI SDK
When Vercel AI SDK connects to Brasil.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning brazil-data, public-datasets, open-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.
Get table metadata on Brasil.io
Get metadata for a specific table in a dataset
List datasets on Brasil.io
io platform. Supports pagination. List available datasets on Brasil.io
Query table data on Brasil.io
You can pass arbitrary filters as a JSON string to filter by column names (e.g., {"state": "PR"}). Query data records from a specific table
Connect Brasil.io to Vercel AI SDK via MCP
Follow these steps to wire Brasil.io 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 Brasil.io MCP Server
Vercel AI SDK provides unique advantages when paired with Brasil.io 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 Brasil.io integration everywhere
Built-in streaming UI primitives let you display Brasil.io 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
Brasil.io + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Brasil.io MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Brasil.io in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Brasil.io tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Brasil.io capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Brasil.io through natural language queries
Example Prompts for Brasil.io in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Brasil.io immediately.
"List all available datasets on Brasil.io."
"Show me the metadata for the 'caso' table in the 'covid19' dataset."
"Query the 'caso' table in 'covid19' for the state of 'PR' and city 'Curitiba'."
Troubleshooting Brasil.io MCP Server with Vercel AI SDK
Common issues when connecting Brasil.io to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBrasil.io + Vercel AI SDK FAQ
Common questions about integrating Brasil.io 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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