Pl@ntNet Connector for AI agents.

17 live capabilities

Identify plant species and detect crop diseases from image URLs.

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AI Agent

Why people use Pl@ntNet

PlantNET for Botanical Identification and Disease Detection

With this Connector, you just point your agent at a photo URL. It handles the heavy lifting of cross-referencing global data to give you a clear name and health report in seconds.

What Vinkius changes

You get instant botanical identification and health diagnostics through a natural conversation.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

Real-world use case 01

Sick Crop Diagnosis

A farmer notices yellowing on their wheat and asks their agent to check the leaf photo.
Real-world use case 02

Field Research

A botanist needs to verify a new find in a specific region.
Real-world use case 03

Garden Identification

A hobbyist uploads a photo of a mystery flower.

Complete set · 17capabilities

The complete Pl@ntNet capability set.

These are the exact actions your AI can choose when you ask it to work with Pl@ntNet.

Capability set01 / 05

01—04

4 capabilities in this set.

Part of 17 available through Pl@ntNet.

01 Capability
List diseases
See which plant diseases the engine can currently identify. This helps you understand the scope of health checks available.
02 Capability
List species
Get a list of species within a specific project or globally. Use this to browse available flora in a region.
03 Capability
List varieties
See all identifiable cultivated plant varieties. This helps you understand the variety of crops the engine recognizes.
04 Capability
Search observations
Look up DarwinCore plant observations. This connects you to a wider database of recorded plant sightings.

Capability set02 / 05

05—08

4 capabilities in this set.

Part of 17 available through Pl@ntNet.

05 Capability
Search plots
Search for DarwinCore plots. Use this to find specific geographic areas of botanical interest.
06 Capability
Survey tiles
Identify multiple species in a single high-resolution image. This is a beta capability for analyzing larger areas like drone shots.
07 Capability
Get quota
Check your remaining API balance at any time. It's useful for keeping an eye on your usage limits.
08 Capability
Align species name
Match a specific species name to a project's taxonomy. This ensures your data stays consistent with official records.

Capability set03 / 05

09—11

3 capabilities in this set.

Part of 17 available through Pl@ntNet.

09 Capability
Estimate survey cost
Get a price estimate for multi-species identification on high-res images. Use this to plan your project budget before starting.
10 Capability
Get daily quota
See how much of your daily API limit you've used. It helps you manage your workflow across different tasks.
11 Capability
List languages
Get a list of all supported language codes for the platform. Use this to confirm which languages your agent can handle.

Capability set04 / 05

12—14

3 capabilities in this set.

Part of 17 available through Pl@ntNet.

12 Capability
List projects
Browse the different taxonomic referentials available. This lets you see which regional projects the engine supports.
13 Capability
Get quota history
View your past API usage history for contractual accounts. It's great for auditing your long-term consumption.
14 Capability
Get status
Check if the Pl@ntNet API is currently online and healthy. Use this to troubleshoot connection issues quickly.

Capability set05 / 05

15—17

3 capabilities in this set.

Part of 17 available through Pl@ntNet.

15 Capability
Identify disease
Send an image to detect specific pests or diseases. This gives you a clear picture of what's hurting your plants.
16 Capability
Identify species
Identify a plant species from an image URL. You can target a specific project or search globally.
17 Capability
Identify variety
Spot specific cultivated varieties from your photos. This is perfect for distinguishing between different crop types.

Set up in minutes

One URL. Then ask Pl@ntNet to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Pl@ntNet from the conversation.

Choose your client

Live preview

Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_y6EPHMFMh9eRVxY5a80P1eo2MrkUrSBCoN4ezuvw/mcp

Step 01

Open Connectors

In Claude Web or Claude Desktop, open Settings and choose Connectors.
Step 02

Add the URL

Choose Add custom connector, name it Pl@ntNet, and paste the URL above.
Step 03

Turn it on in chat

Select +, open Connectors, and enable Pl@ntNet for the conversation.

ChatGPT · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_y6EPHMFMh9eRVxY5a80P1eo2MrkUrSBCoN4ezuvw/mcp

Step 01

Open MCP settings

On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
Step 02

Add the URL

Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Pl@ntNet URL.
Step 03

Save and start

Save the connection and enable Pl@ntNet in your conversation. Desktop may ask you to restart once.

Cursor · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "plantnet": {
      "url": "https://edge.vinkius.com/vk_preview_y6EPHMFMh9eRVxY5a80P1eo2MrkUrSBCoN4ezuvw/mcp"
    }
  }
}

Step 01

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Step 02

Add the server config

Paste the JSON configuration above into the mcp.json file that opens
Step 03

Save the file

Cursor will automatically detect the new Connector
Step 04

Start using Pl@ntNet

Open Agent mode in chat and ask: "Using Pl@ntNet, help me...". 17 tools available

VS Code Copilot · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "plantnet": {
      "url": "https://edge.vinkius.com/vk_preview_y6EPHMFMh9eRVxY5a80P1eo2MrkUrSBCoN4ezuvw/mcp"
    }
  }
}

Step 01

Create MCP config

Create a .vscode/mcp.json file in your project root
Step 02

Add the server config

Paste the JSON configuration above
Step 03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Step 04

Start using Pl@ntNet

Ask Copilot: "Using Pl@ntNet, help me...". 17 tools available

Windsurf · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "plantnet": {
      "url": "https://edge.vinkius.com/vk_preview_y6EPHMFMh9eRVxY5a80P1eo2MrkUrSBCoN4ezuvw/mcp"
    }
  }
}

Step 01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Step 02

Add the server

Paste the JSON configuration above into mcp_config.json
Step 03

Save and reload

Windsurf will detect the new server automatically
Step 04

Start using Pl@ntNet

Open Cascade and ask: "Using Pl@ntNet, help me...". 17 tools available

Cline · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "plantnet": {
      "url": "https://edge.vinkius.com/vk_preview_y6EPHMFMh9eRVxY5a80P1eo2MrkUrSBCoN4ezuvw/mcp"
    }
  }
}

Step 01

Open Cline MCP Settings

Click the Connectors icon in the Cline sidebar panel
Step 02

Add remote server

Click "Add Connector" and paste the configuration above
Step 03

Enable the server

Toggle the server switch to ON
Step 04

Start using Pl@ntNet

Ask Cline: "Using Pl@ntNet, help me...". 17 tools available

Claude Code · Terminal command

Official guide ↗

Advanced setup

claude mcp add plantnet --transport http "https://edge.vinkius.com/vk_preview_y6EPHMFMh9eRVxY5a80P1eo2MrkUrSBCoN4ezuvw/mcp"

Step 01

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed
Step 02

Add the Connector

Run the command above in your terminal
Step 03

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session
Step 04

Start using Pl@ntNet

Ask Claude: "Using Pl@ntNet, show me...". 17 tools are ready

Where the request belongs

Work Pl@ntNet can move forward.

Built around the request

This is for people who deal with plant health and biodiversity daily and can't afford to guess at identifications. It's for the gardener who's stressed about a dying crop and the researcher who needs to verify species names quickly.

01

Botanist

Verifying species names and aligning them with official taxonomies during field research.

02

Commercial Farmer

Identifying specific pests and diseases in crops to choose the right treatment.

03

Landscape Architect

Identifying specific cultivated varieties for regional planting projects.

Build the capability set

Each Connector adds new actions and data without changing how you work.

Browse Connectors

01 5 capabilities

Perenual Plant API

Manage plant data. audit species, care, and diseases via AI.

02 12 capabilities

Taranis

Access AI-powered crop scouting via Taranis. detect weeds, diseases, pests, nutrient deficiencies, and get scouting recommendations from ultra-high-resolution imagery.

03 12 capabilities

Trefle

Access the world's largest botanical database. search for plants, species, and genera, and explore distribution data directly from your AI agent.

04 11 capabilities

Plants

Access a massive botanical database. search for plants, species, and distributions directly from any AI agent.

05 4 capabilities

OpenFarm Agriculture

Access crowdsourced agricultural data. search for crops, growing guides, and planting instructions.

06 9 capabilities

OneSoil

Manage agricultural fields, monitor crop health via NDVI, and access hyper-local weather data directly from your AI agent.

Bring your own AI

Change the model, client or framework. Keep Pl@ntNet connected.

Before you connect

Questions about Pl@ntNet.

The practical details behind the request, access and result.

Can the PlantNET MCP identify plants from photos?

Yes, it can identify species from images of leaves, flowers, fruit, and bark. Just provide the image URL to your agent.

How does PlantNET MCP help with farming?

It allows you to detect pests and diseases in your crops quickly. This helps you take action before a problem spreads to the rest of your field.

Can I use PlantNET MCP for research purposes?

Yes, it's great for botanists. You can browse regional projects and align species names with official taxonomies.

Does PlantNET MCP work for cultivated crops?

It's specifically designed to identify cultivated plant varieties and crops, making it useful for agriculture.

Can I check my usage limits with PlantNET MCP?

Yes, you can ask your agent to check your daily quota or view your history to make sure you stay within your plan limits.

Can PlantNET MCP identify multiple plants at once?

Yes, it has a beta feature for identifying multiple species in a single high-resolution image, which is great for drone shots.

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.

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.

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.

One connection away

Give your agent a direct line to Pl@ntNet.

Connect Pl@ntNet once. Keep it beside 6,100+ managed Connectors when the next task needs more.

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