Overview
What is Groundlight MCP Server?
Groundlight MCP Server is a Model Context Protocol (MCP) server designed for interacting with Groundlight, providing tools to create and manage Detectors and ImageQueries.
How to use Groundlight MCP Server?
To use the Groundlight MCP Server, you can run it using Docker with the provided configuration. You can interact with the server through its API to create detectors and submit image queries.
Key features of Groundlight MCP Server?
- Create and manage binary classification detectors.
- Submit images for analysis and receive labels with confidence scores.
- List all detectors and image queries associated with the user.
- Get detailed information about specific detectors and image queries.
Use cases of Groundlight MCP Server?
- Developing image classification applications.
- Automating image analysis tasks in various domains.
- Enhancing machine learning models with user feedback through detectors.
FAQ from Groundlight MCP Server?
- What is a Detector?
A Detector is a model that analyzes images and provides responses based on binary classification.
- How do I submit an image for analysis?
You can submit an image by providing its path, URL, or raw bytes to the submit_image_query tool.
- Is the Groundlight MCP Server open-source?
Yes, the Groundlight MCP Server is available on GitHub and is open for contributions.