plantcv-mcp is a self-hosted Model Context Protocol server that exposes PlantCV image-analysis capabilities as a measurement instrument. It returns plant traits together with segmentation overlays showing the image regions used for measurement, for researchers and developers working on plant phenotyping.
plantcv-mcp sits in PulseGate's Computer vision, OCR & document AI category. It focuses on measuring plant traits and producing traceable segmentation overlays through an MCP-compatible interface. plantcv-mcp is an open-source project aimed at plant scientists and developers building AI-assisted plant phenotyping workflows. The project is open source. plantcv-mcp is available on the web, the command line, and API, and it can be self-hosted.
Behind plantcv-mcp is musharna. Key capabilities include plant trait measurement, segmentation overlays, and plant image analysis. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do