Upload a single image to a Roboflow project from a URL, local path, or base64 data. Supports specifying dataset split, batch, and tags.
Apache 2.0
366,116 tools. Last updated 2026-08-02 06:09
"Roboflow" matching MCP tools:
- Upload annotations in COCO, YOLO, Pascal VOC, CreateML, or Roboflow JSON format to associate them with specific images in a Roboflow project.Apache 2.0
- Create a new Chroma collection with customizable HNSW parameters, embedding functions, and optional metadata to organize and manage AI-generated or user-input data efficiently.Apache 2.0
- Retrieve a startup's engineering acceleration profile including commit velocity, contributor growth, new repos, signal classification, sector, stage, and geography. Ideal for vetting a named company before writing a deal memo.MIT
- Add fully-reviewed annotation jobs to dataset by moving approved images into train/valid/test splits. Requires confirm='yes' and session cookie.Apache 2.0
- Remove specified tags from an image in a Roboflow dataset. Destructive action requires confirmation and curate or full server mode.Apache 2.0
Matching MCP Servers
- AlicenseAqualityBmaintenanceAn MCP server that exposes the Roboflow API to MCP-compatible clients like Claude Code, Claude Desktop, and Cursor. Use it to manage datasets, upload and tag images, push annotations, and inspect projects without leaving your editor.Last updated22Apache 2.0
- Flicense-qualityDmaintenanceIntegrates the Roboflow platform with Claude Code to manage computer vision datasets, trigger training runs, and perform inference directly from the CLI. It enables users to search Roboflow Universe for public datasets and handle image uploads or model evaluations using natural language commands.Last updated
- Initiates an export request for a trained version and returns a signed download URL. Pair with roboflow_download_export to save the zip file on disk.Apache 2.0
- Concurrently upload a batch of images to a Roboflow project, receiving per-image results and errors for each source.Apache 2.0
- List a project's annotation jobs to view labeling and review progress, and identify jobs ready to add to the dataset. Optionally filter by status.Apache 2.0
- Delete a specific version of a dataset in your Roboflow project. Confirmation is required to proceed.Apache 2.0
- Create a new version of a Roboflow dataset by applying augmentation, preprocessing, or train-test split. Starts async generation; poll status until ready.Apache 2.0
- Add tags to an image in a Roboflow project to label or classify it, preserving any existing tags.Apache 2.0
- Set up a new vector collection with adjustable HNSW settings and select an embedding function (OpenAI, Cohere, etc.). Add metadata as needed.Apache 2.0
- Retrieve upload batches for a project to monitor image uploads.Apache 2.0