How to Use the Trefle MCP in Windsurf

Q: How do I use Trefle with Windsurf to get plant details?

You set your goal—for example, 'Get all data for the genus Quercus.' Cascade reads this, automatically calls getgenus, and presents the full result. You don't need to prompt each step.

Q: Is Trefle useful for checking plant distributions in Windsurf?

Yes. The getdistributionplants tool lets you filter by establishment and pull detailed distribution zones automatically, which is ideal for multi-step reporting.

Q: How does Trefle help with data quality checks using Windsurf?

You can trigger the correction workflow. The agent uses listspecies to verify records and then executes submitspeciescorrection, making it easy to maintain data accuracy.

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Connect Trefle MCP to Windsurf

Create your Vinkius account to connect Trefle to Windsurf 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 Windsurf

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Map Plant Distribution Zones

You can automatically map where a plant grows using the `get_distribution_plants` tool. Just provide an establishment filter, and Cascade pulls all relevant zones for you. This works great when building complex reports. It lets your agent cycle through multiple species to check their distribution data without needing dozens of manual prompts.

Search and Classify Flora Data

Need to find a plant or genus? Use `search_plants` or the more specific `list_genera` tool. Cascade can read your goal—like 'find all tropical flowers'—and automatically chain these searches together. It also lets you get deep details on any entry using tools like `get_plant` and `get_genus`. The agent reads the context, then executes a full data pull.

Manage Species Data Corrections

If you spot bad data, don't manually submit forms. Cascade can first use `list_species` to verify the record, and then automatically call `submit_species_correction`. It figures out which fields need updating. This tool is perfect for maintenance pipelines. Your agent handles the verification steps before committing a correction using `report_species_error`.

Setup guide

Set up Trefle MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Trefle MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Trefle payment history." If connected, Cascade will call the Trefle tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

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

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Common questions about Trefle MCP in Windsurf

You set your goal—for example, 'Get all data for the genus *Quercus*.' Cascade reads this, automatically calls `get_genus`, and presents the full result. You don't need to prompt each step.

Absolutely. If you tell your agent to find all tropical plants, it will chain calls through `search_plants` and potentially `list_species`. It handles the sequence of tool usage autonomously.

Trefle manages botanical records, including plant species, genera, distribution zones, and associated metadata. Specifically, it touches plant taxonomy data when your agent reads the context.

Yes. The `get_distribution_plants` tool lets you filter by establishment and pull detailed distribution zones automatically, which is ideal for multi-step reporting.

You can trigger the correction workflow. The agent uses `list_species` to verify records and then executes `submit_species_correction`, making it easy to maintain data accuracy.

Use it with your favorite AI tools

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