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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use MAPA (Agricultura) with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Access official Brazilian agricultural open data. search datasets, inspect rural resources, and query Ministry of Agriculture (MAPA) records.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 8 capabilities

The complete MAPA (Agricultura) capability set.

These are the exact actions your AI can choose when you ask it to work with MAPA (Agricultura).

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 8 available through MAPA (Agricultura).

  1. 01

    List groups

    List all groups

  2. 02

    List organizations

    List all organizations

  3. 03

    List packages

    List all dataset names (packages)

  4. 04

    Search packages

    G., "agrofit" or "organization:mapa"). Search for datasets matching a query

Capability set02 / 02

05-08

4 capabilities in this set.

Part of 8 available through MAPA (Agricultura).

  1. 05

    List tags

    List all tags

  2. 06

    Get package

    Get metadata for a specific dataset (package)

  3. 07

    Get organization

    Get details for a specific organization

  4. 08

    Get resource

    Get metadata for a specific resource

Observed, not estimated

832ms average. Fast in production.

MAPA (Agricultura) is checked daily against the live service.

Daily averagePeak 979ms
Aug 20Today
Fastest day
730ms
Slowest day
979ms
14-day trend
Stable-1%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 8 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of MAPA (Agricultura), so you can see the experience inside your AI.

It does not authenticate your account with MAPA (Agricultura). Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

MAPA (Agricultura) Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_vZA3HEhSZPPXrBHSgur3O22MyJnLu45VTXLHUj1Q/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — MAPA (Agricultura) capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "mapa-agricultura-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_vZA3HEhSZPPXrBHSgur3O22MyJnLu45VTXLHUj1Q/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions MAPA (Agricultura) owners ask.

  • 01

    How can I find datasets about a specific topic like 'coffee'?

    You can use the search_packages capability with the query 'café'. It will return all datasets that match the term in their title or description.

  • 02

    How do I get the actual download link for a data file?

    First, use get_package to find the resource IDs within a dataset. Then, call get_resource with the specific ID to retrieve the download URL and file format.

  • 03

    Can I see which government departments publish the data?

    Yes! Use the list_organizations capability to see all publishing entities. You can then use get_organization to see all datasets managed by a specific department.

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