How to Use the MAPA (Agricultura) MCP in Vercel AI SDK

Q: How do I search for crop data using MAPA (Agricultura) in Vercel AI SDK?

You pass the searchpackages tool into your generateText call. The AI client then interprets the user prompt and executes the search against the government database.

Q: Can I filter results from MAPA (Agricultura) inside my Vercel AI SDK app?

Yes. You can use the listtags or listgroups tools to refine what your agent returns. It gives you control over the data scope.

Stream official Brazilian agricultural data directly into your Vercel AI SDK interface for live, reactive UI updates.

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Connect MAPA (Agricultura) MCP to Vercel AI SDK

Create your Vinkius account to connect MAPA (Agricultura) 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 MAPA (Agricultura) with Vercel AI SDK

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Real-time data streaming with Vercel AI SDK

Feed government datasets straight into your frontend components using `search_packages` or `list_packages`. Your users watch the data populate as the stream hits your Edge Function, skipping the typical wait times. This MCP Server provides the raw metadata needed for dynamic tables or charts. You connect the tools to your streamText output and handle the display logic immediately.

Inspect resource metadata

Drill down into specific agricultural files using `get_resource`. It fetches the exact link or metadata object your application needs to render or process the file. That's how you build a responsive dashboard. You target a resource ID, pull the metadata, and update the UI state without re-rendering the whole page.

Organization and package tracking

Use `list_organizations` and `get_organization` to verify official data sources before your AI agent pulls them. It keeps your data pipeline clean and verified. You build trust in your application by pinning search results to these specific government entities. It prevents your agent from hallucinating sources during a live chat.

Setup guide

Set up MAPA (Agricultura) 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 MAPA (Agricultura) 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 MAPA (Agricultura) 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 MAPA (Agricultura). 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 MAPA (Agricultura) MCP in Vercel AI SDK

You pass the `search_packages` tool into your generateText call. The AI client then interprets the user prompt and executes the search against the government database.

Yes. You can use the `list_tags` or `list_groups` tools to refine what your agent returns. It gives you control over the data scope.

It works perfectly. The tool results are returned as text chunks that your SDK handles just like any other stream.

The server exposes public open data. You don't need an API key to fetch records.

The server only touches public government records. It does not store or process your private user inputs or proprietary data.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.