Which integrations are available for this server?

Provides tools for interacting with Roboflow's computer vision platform, including searching models and datasets, creating models from prompts, running inference (detection, segmentation, classification), managing workflows, and uploading images to projects.

How do I use Roboflow MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Roboflow MCP Server create a model for detecting potholes" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Roboflow MCP Server

by eusef

Overview Schema Related Servers Score Discussions

TypeScript

Remote

Roboflow MCP Server

A Model Context Protocol (MCP) server that gives AI coding agents programmatic access to Roboflow's computer vision platform. Provides 10 tools across 5 groups: Discovery, Rapid Creation, Inference, Workflows, and Utilities.

Quick Install

curl -fsSL https://raw.githubusercontent.com/eusef/Eusef_Roboflow_MCP/main/install.sh | bash

This clones the repo to ~/.roboflow/mcp-server, installs dependencies, builds, and prints the config snippet to add to Claude Code.

Related MCP server: MCP Server for n8n Integration

Prerequisites

Node.js >= 20.0.0
A Roboflow API key (get one at https://app.roboflow.com/settings/api)

Installation

git clone https://github.com/eusef/Eusef_Roboflow_MCP.git
cd Eusef_Roboflow_MCP
npm install
npm run build

Configuration

Set your Roboflow API key as an environment variable:

export ROBOFLOW_API_KEY="your_api_key_here"

Optional environment variables:

Variable	Description	Default
`ROBOFLOW_API_KEY`	Your Roboflow API key (required)	--
`ROBOFLOW_API_URL`	Override the base API URL	`https://api.roboflow.com`
`ROBOFLOW_WORKSPACE`	Default workspace ID	API key owner's workspace

Adding to Claude Code

Add this to your Claude Code MCP settings (~/.claude/settings.json or project-level .claude/settings.json):

{
  "mcpServers": {
    "roboflow": {
      "command": "node",
      "args": ["/absolute/path/to/Eusef_Roboflow_MCP/dist/index.js"],
      "env": {
        "ROBOFLOW_API_KEY": "your_api_key_here"
      }
    }
  }
}

Available Tools

Discovery

Tool	Description
`roboflow_api_status`	Check API connectivity and key validity
`roboflow_universe_search`	Search Universe for existing models and datasets
`roboflow_project_list`	List projects in your workspace
`roboflow_pretrained_list`	List curated pre-trained APIs (OCR, people, PPE, etc.)

Rapid Creation

Tool	Description
`roboflow_rapid_create`	Create a model from a natural language prompt (no training data needed)

Inference

Tool	Description
`roboflow_inference_run`	Run object detection or segmentation on an image
`roboflow_inference_classify`	Run classification on an image

Workflows

Tool	Description
`roboflow_workflow_list`	List available Workflows in a workspace
`roboflow_workflow_run`	Execute a Workflow pipeline

Utilities

Tool	Description
`roboflow_upload_image`	Upload an image to a project dataset

Running Tests

npm test

Development

Watch mode for TypeScript compilation:

npm run dev

Start the server directly:

npm start

License

MIT

This server cannot be installed

license - not found

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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