Roboflow MCP Server

# Roboflow MCP Server > A hosted Model Context Protocol (MCP) server that exposes Roboflow's computer vision platform — projects, datasets, images, annotations, versions, models, and Workflows — as tools for AI assistants. This server speaks MCP over streamable HTTP at `https://mcp.roboflow.com/mcp`. Authenticate with a Roboflow API key sent in the `x-api-key` header. Get a key at https://app.roboflow.com/settings/api. ## Connection - [MCP endpoint](https://mcp.roboflow.com/mcp): streamable-http transport, requires the `x-api-key` header - [Homepage](https://mcp.roboflow.com/): install snippets for Claude Code, Claude Desktop, and other MCP clients - [Get a Roboflow API key](https://app.roboflow.com/settings/api) ## Tool categories - **Projects** — manage projects in your workspace - `projects_list`: List all projects in the workspace associated with the API key. - `projects_create`: Create a new computer vision project. - `projects_get`: Get detailed info about a project including versions, classes, splits, and trained models. - **Images** — prepare image uploads for a project - `images_prepare_upload`: Get an upload URL to upload a single image to a project. - `images_prepare_upload_zip`: Prepare a zip upload of images and annotations to a project. - `images_upload_zip_status`: Check the status of a zip upload task. - `images_search`: Search for images inside a project. - **Annotations** — save annotations to a project image - `annotations_save`: Save an annotation for an existing image. - **Batch** — organize images into batches and create labeling jobs - `annotation_batches_list`: List upload batches in a project. - `annotation_batches_get`: Get details about a specific batch. - `annotation_jobs_create`: Create an annotation job to assign a batch of images to a labeler. - **Versions** — create and inspect dataset versions - `versions_generate`: Create a new dataset version with optional preprocessing and augmentation.