How to Use the Trefle MCP in Cline

Q: Can Cline use Trefle to fetch plant details?

Yes. You can instruct it to write a function that calls getplant or getgenus. It handles the API interaction and writes the resulting data into your project's memory structure.

Fetch botanical data, write code, and test with Cline's end-to-end task execution.

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Connect Trefle MCP to Cline

Create your Vinkius account to connect Trefle to Cline 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 Trefle with Cline

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Automate Data Retrieval for Development

You can tell Cline to build a dashboard component that needs current flora data. It fetches the list of main species using `list_plants`, and then writes the necessary API wrapper code to consume it. It doesn't just give you JSON; it creates the files, imports the data schema, and stages commits for review.

Build Data-Driven Validation Scripts

Need to validate a large dataset of botanical records? Cline runs tests. It can fetch details using `get_species` or `search_species`, then write Python code that checks the integrity of those results. If there's an issue, it uses `report_species_error`. The entire process—fetch, test, report—happens within one task execution.

Process Distribution Mapping Tasks

Use Cline to script the extraction of distribution data. You can tell it to loop through zones and call `get_distribution_plants`, filtering by establishment like 'native.' It handles the iteration, writes the output to a structured file (like CSV), and includes unit tests for the resulting dataset.

Setup guide

Set up Trefle MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type trefle-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Trefle refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "trefle-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Trefle MCP in Cline

Yes. You can instruct it to write a function that calls `get_plant` or `get_genus`. It handles the API interaction and writes the resulting data into your project's memory structure.

It provides structured access to botanical records. You can use `list_genera` to gather a list of all genera, and then write code that processes this hierarchy into a database model.

Anything end-to-end. You tell it: 'Build a report showing species found in Zone X.' Cline then calls `get_distribution_plants`, processes the data, and writes the final component.

Trefle manages plant taxonomy, including detailed records of species, genera, varieties, and distribution zone metadata. It's all structured data you can code against.

It is. You can write a script that detects errors by querying `list_species` and then automatically calls `submit_species_correction` to fix the records, all without manual intervention.

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