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Connect Plants to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn your AI agent into a digital botanist with real-world plant data.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 11 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 11 available through Trefle.

  1. 01

    Correct species

    Submit data corrections for a specific species record.

  2. 02

    Get plant

    Retrieve detailed information for a single plant.

  3. 03

    List distribution plants

    Get a list of plants found within a specific distribution zone.

  4. 04

    List distributions

    Access a list of all available WGSRPD standard distribution zones.

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 11 available through Trefle.

  1. 05

    List species

    List species, subspecies, and varieties using advanced query parameters.

  2. 06

    Report species error

    Flag an error found in a species record.

  3. 07

    Search plants

    Find plants by searching their names.

  4. 08

    Search species

    Search for specific species by name.

Capability set03 / 03

09-11

3 capabilities in this set.

Part of 11 available through Trefle.

  1. 09

    Get species

    Fetch full details for a specific species.

  2. 10

    List genus

    Retrieve a list of all available genera.

  3. 11

    List plants

    List main plant species using filters, ranges, or ordering.

Real work

What teams actually run

01

Taxonomic Verification

A researcher asks the agent to confirm the genus and species of a specimen.

02

Regional Flora Studies

An ecologist asks for a list of all plants found in a specific distribution zone.

03

Garden Planning

A gardener asks the agent for the growth characteristics of a specific plant species.

04

Data Integrity

A user identifies a mistake in a record and has the agent report the error.

Automate a task

Put Trefle to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Trefle works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Trefle to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

977ms average. Fast in production.

Trefle is checked daily against the live service.

Daily averagePeak 1210ms
Oct 3Today
Fastest day
817ms
Slowest day
1210ms
14-day trend
Slowing+23%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 11 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 Trefle, so you can see the experience inside your AI.

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

Trefle Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_bpJgA7d1fc2Jh8wC7QBbfmJQmGnmBEOgAyE4DoVT/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 — Trefle capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "plants-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_bpJgA7d1fc2Jh8wC7QBbfmJQmGnmBEOgAyE4DoVT/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

Guided setup for Claude? Set up Trefle in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Trefle owners hand off.

This MCP is built for professionals and hobbyists who need reliable botanical data without manual API coding.

  • 01

    Researchers

    They use the agent to quickly verify taxonomic data and distribution zones.

  • 02

    Gardeners

    They ask the agent for plant characteristics and images using natural language.

  • 03

    Developers

    They use the agent to pull plant data into their workflows without writing manual API calls.

FAQ

Questions Trefle owners ask.

  • 01

    What database does this MCP use?

    This MCP connects directly to the Trefle API to access its botanical data.

  • 02

    Which AI clients can I use with this?

    You can use this MCP with any compatible client, including Claude, Cursor, and Windsurf.

  • 03

    Do I need my own API key?

    Yes, you will need to enter your Trefle API Token to authenticate the connection.

  • 04

    Can I find plants by their scientific name?

    Yes, you can search for plants using both common names and scientific names.

  • 05

    How does it handle plant locations?

    The MCP uses WGSRPD standard distribution zones to list plants by their geographical areas.

  • 06

    How do I search for a specific plant like 'Lavender'?

    You can use the search_plants capability. Simply provide the name as the 'q' parameter, and the agent will return a list of matching plants from the database.

  • 07

    Can I find plants native to a specific region or country?

    Yes! Use the list_distribution_plants capability with the specific distribution zone slug (e.g., 'fra' for France or 'bra' for Brazil) to see plants found in that area.

  • 08

    What is the difference between get_plant and get_species?

    get_plant retrieves the main record for a plant, while get_species provides more granular taxonomic data, including specific varieties, subspecies, and detailed growth characteristics.

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