• TAXONOMY
  • LOCATION
  • RECORDS
  • HUMAN

How to query botanical observation data with your AI

Connect PlantNET to your AI client to pull real-time species data and geographic observations.

Ask AI about this page

Short answer

How can I find specific species in certain areas using my AI?

Your AI uses PlantNET to search for DarwinCore observations and map species to specific geographic plots. You get precise taxonomic matches and location-based data for your research.

Data outcomes

Where your data lands.

What your AI delivers after a query.

TAXONOMY

Clean species names

The AI uses taxonomic referentials to ensure every species name is accurate and standardized.

LOCATION

Plot-based data

You get observation records tied to specific geographic plots for precise spatial analysis.

RECORDS

DarwinCore observations

The AI pulls raw observation data following DarwinCore standards for your use.

HUMAN

Manual verification

You decide which species matches or plot data are relevant for your final report.

The workflow

What your AI does when the request arrives.

The AI moves from broad searches to specific taxonomic alignment.

  1. Find the data

    The AI scans the database for specific species or observation records.

    search_observations

  2. Locate the area

    It identifies the specific geographic plots where your target species might be found.

    search_plots

  3. Standardize names

    The AI fixes spelling or taxonomic errors to match official records.

    align_species_name

  4. Organize work

    It looks up existing projects to see where your data fits.

    list_projects

Try it

Copy these to start.

Use these prompts to begin your botanical search.

Starting points

Swap out the bracketed text with your actual species or location names.

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"
    }
  }
}
Copy into chat04

  • Find all observations for [Species Name] in the [Plot Name] plot.

  • List all projects currently active in the PlantNET database.

  • Search for [Species Name] observations within the [Geographic Region] area.

  • Align the name [Incorrect Species Name] with the correct taxonomic record.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect PlantNET once, then ask.

One connection gives your AI access to the full PlantNET dataset. Your credentials stay encrypted and secure.

Connect PlantNET to your AI

FAQ

How this task behaves.

  • 01

    Can the AI add new observations to PlantNET?

    No. The AI can only search and retrieve existing observations and plot data.

  • 02

    Does the AI change the official taxonomic names?

    No. It uses the alignment tool to find the correct name, but it does not modify the master database.

  • 03

    Can I search for species by their common names?

    Yes, the AI will attempt to align common names with the correct taxonomic referentials.

  • 04

    Can the AI create new geographic plots?

    No. It can only search through existing plots.

  • 05

    Will the AI automatically save my findings to a file?

    No. The AI provides the data in the chat, and you must save or export it yourself.

  • More questions about PlantNET? The Connector page answers them. See everything the PlantNET Connector can do

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