An astronaut overseeing a futuristic data hub

Connect Plantnet 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 any plant photo into precise scientific 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 · 17 capabilities

We ship only the actions that matter.

Capability set01 / 05

01-04

4 capabilities in this set.

Part of 17 available through Pl@ntNet.

  1. 01

    List species

    This capability lists plant species within a specific project or globally. You can use it to browse available species in the database.

  2. 02

    Search plots

    This capability searches DarwinCore plots to find specific botanical data. It helps you locate species within defined geographic or study areas.

  3. 03

    Survey tiles

    This capability performs multi-species identification from a single high-resolution image. It is designed for analyzing drone or quadrat imagery.

  4. 04

    List projects

    This capability retrieves a list of all available Pl@ntNet projects. Use it to find specific taxonomic referentials.

Capability set02 / 05

05-08

4 capabilities in this set.

Part of 17 available through Pl@ntNet.

  1. 05

    Align species name

    This capability aligns a specific species name within a chosen project. It ensures your naming stays consistent with official taxonomies.

  2. 06

    Estimate survey cost

    This capability calculates the expected cost for running a multi-species survey. Use it to plan your high-resolution image analysis.

  3. 07

    Get daily quota

    This capability checks your current daily API usage. It helps you track how much of your limit you have used today.

  4. 08

    Get quota history

    This capability retrieves your past API quota usage. This is only available for users with contractualized access.

Capability set03 / 05

09-11

3 capabilities in this set.

Part of 17 available through Pl@ntNet.

  1. 09

    Get quota

    This capability checks your current available API quota. Use it to see how many requests you have left.

  2. 10

    Get status

    This capability checks the health and status of the Pl@ntNet API service. Use it to see if the service is currently operational.

  3. 11

    Identify disease

    This capability identifies plant diseases and pests from uploaded images. It analyzes visual symptoms to name the issue.

Capability set04 / 05

12-14

3 capabilities in this set.

Part of 17 available through Pl@ntNet.

  1. 12

    Identify species

    This capability identifies a plant species from an image URL. You can target a specific project or search across all of them.

  2. 13

    Identify variety

    This capability identifies specific cultivated plant varieties from images. It goes beyond species to find specific crops or cultivars.

  3. 14

    List diseases

    This capability provides a list of all identifiable plant diseases. Use it to see what the system can detect.

Capability set05 / 05

15-17

3 capabilities in this set.

Part of 17 available through Pl@ntNet.

  1. 15

    List languages

    This capability returns a list of supported language codes. Use it to configure how your agent communicates results.

  2. 16

    List varieties

    This capability lists the cultivated plant varieties that the system can identify. It is useful for crop-specific work.

  3. 17

    Search observations

    This capability searches DarwinCore plant observations. It allows you to find recorded sightings and data points.

Real work

What teams actually run

01

Field Identification

A researcher provides a photo of a leaf to quickly confirm a species name in the field.

02

Crop Protection

A farmer uploads a photo of a damaged leaf to identify a specific pest or disease.

03

Biodiversity Mapping

A scientist uses high-resolution drone imagery to survey multiple species in a single area.

04

Database Management

A user aligns species names with official taxonomic projects to ensure data accuracy.

Automate a task

Put Pl@ntNet 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

Pl@ntNet 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.

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

You don't need a client to put Pl@ntNet 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

953ms average. Fast in production.

Pl@ntNet is checked daily against the live service.

Daily averagePeak 1153ms
Oct 3Today
Fastest day
762ms
Slowest day
1153ms
14-day trend
Slowing+24%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 17 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 Pl@ntNet, so you can see the experience inside your AI.

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

Pl@ntNet Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_y6EPHMFMh9eRVxY5a80P1eo2MrkUrSBCoN4ezuvw/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 — Pl@ntNet capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "plantnet-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_y6EPHMFMh9eRVxY5a80P1eo2MrkUrSBCoN4ezuvw/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 Pl@ntNet in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Pl@ntNet owners hand off.

This MCP is built for professionals working with living plants and biological data.

  • 01

    Botanists

    They use the MCP to verify species names and pull data from taxonomic databases.

  • 02

    Farmers

    They use the agent to identify pests and diseases affecting their crops.

  • 03

    Researchers

    They use the capability to query DarwinCore observations and manage species lists.

FAQ

Questions Pl@ntNet owners ask.

  • 01

    What do I need to use this MCP?

    You need a valid PlantNET API key. You can enter this key in the Vinkius settings after subscribing.

  • 02

    Which AI clients can I use?

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

  • 03

    Can it identify specific crops?

    Yes, the identify_variety capability is specifically designed to identify cultivated plant varieties and crops.

  • 04

    How does it handle multiple plants in one photo?

    The survey_tiles capability allows the agent to perform multi-species identification on high-resolution imagery like drone shots.

  • 05

    How do I check my usage limits?

    You can use the get_quota or get_daily_quota capabilities to check your remaining API capacity.

  • 06

    How can I identify a plant from a photo URL?

    Use the identify_species capability. Provide the image URL and specify the organ shown (e.g., 'flower', 'leaf'). You can set the project to 'all' for a global search.

  • 07

    Can the AI detect if my plant has a disease?

    Yes! Use the identify_disease capability with an image of the affected plant. It will return potential diseases or pests (EPPO codes) identified by the engine.

  • 08

    How do I find which botanical projects are available for my location?

    Use the list_projects capability. You can optionally provide latitude (lat) and longitude (lon) to filter projects relevant to your specific geographic area.

Connect Pl@ntNet to Claude, Cursor, ChatGPT & more