Trefle MCP. Access 1 Million+ Plant Records and Distributions

Trefle connects your AI client directly into a massive botanical database, giving you hands-on control over over a million plant entries. You're looking for more than just surface-level data; you need the deep dive when standard queries fall short. This server lets you search specific species and genera, trace complex taxonomy, and map detailed geographic distribution patterns using twelve dedicated tools.

Finding Plants and Species Data

You can start by running search_species to query all recorded species and sub-taxa using natural language—you just tell it what you're looking for. If you need a broader search across the main plant group, use search_plants instead; this performs keyword searches against all primary plant records. For comprehensive browsing, you can pull a full list of every known species or sub-taxa by calling list_species, while list_plants gives you an inventory of only the main plant species, filtering out varieties and subspecies forms.

Retrieving Scientific Profiles

When you pinpoint what you need, Trefle lets you pull full scientific profiles. To get all the metadata for a single, known plant species, run get_species to fetch its complete details, including its taxonomy notes. If you know the specific identifier of a plant, use get_plant to retrieve its full scientific profile and associated data.

For deeper taxonomic context, calling get_genus pulls detailed information for one specific genus using just its identifier.

Mapping Taxonomy and Structure

To map out the entire botanical kingdom’s structure, you can pull a complete list of all cataloged plant genera by invoking list_genera. If you need to know what global distribution zones exist in the database at all, run list_distributions to generate that full inventory. Once you have a zone listed, you use get_distribution_plants to filter records and see which plants were established there, letting you specifically filter by status—like finding only 'native' species within that defined area.

Handling Data Corrections

The database isn't perfect. If you find something wrong with the recorded data, Trefle gives you tools to fix it. You can submit a structured correction when an error exists in species information using submit_species_correction. For general reporting on inaccuracies that need review, use report_species_error to detail the problem found within existing records.

How It Works In Practice

You're not just viewing data; you're running complex queries. You can first determine all available global distribution zones with list_distributions. Then, if you want to know what species are native only to a specific zone, you use get_distribution_plants and filter by status. If your research requires tracing the family structure back up through the taxonomy, you'll start by calling list_genera, narrow down your focus with get_genus, and then pull the final details on an individual species using get_species.

The sheer depth of this data means you never have to guess where to look; you just tell Trefle what criteria you need it to check.