mcp-server-roboflow
Hardened MCP server for the Roboflow API: dataset ingestion, image tagging, annotation upload, version lifecycle. Capability-scoped, audited, SSRF-guarded.
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mcp-server-roboflow
An 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.
Not affiliated with Roboflow Inc. This is a community project.
Status
Early development. The public API and tool names will change until v1.0.0.
See CHANGELOG.md for what shipped in each release.
Install
Requires Python 3.10 or newer and a Roboflow private API key.
Claude Code
claude mcp add roboflow \
--scope user \
--env ROBOFLOW_API_KEY=your_key_here \
-- uvx mcp-server-roboflow
Restart Claude Code. Tools appear as mcp__roboflow__*.
From source
git clone https://github.com/MayankD409/Roboflow-MCP-Server.git
cd Roboflow-MCP-Server
uv sync
uv run mcp-server-roboflow
Configuration
Environment variables (copy .env.example to .env for local dev):
| Variable | Required | Description |
|---|---|---|
ROBOFLOW_API_KEY | yes | Your Roboflow private API key |
ROBOFLOW_WORKSPACE | no | Default workspace slug, so tools can omit it |
ROBOFLOW_API_URL | no | Override the API base (default https://api.roboflow.com) |
ROBOFLOW_MCP_LOG_LEVEL | no | DEBUG, INFO, WARNING, ERROR (default INFO) |
Tools
See docs/TOOLS.md for the full list. v0.1 focuses on dataset management: list workspaces and projects, upload images, add and filter by tags, upload annotations.
Contributing
We follow Git Flow and test-driven development. New tools land through PRs to
develop; releases cut from develop into main with a semver tag.
Read CONTRIBUTING.md before opening a PR. Bugs and feature ideas go in issues.
