# Roboflow MCP Server

> Model Context Protocol server for Roboflow, an end-to-end computer vision platform. Enables AI assistants to build and deploy object detection, segmentation, classification, and keypoint models with dataset management, annotation, and inference capabilities.

- **URL:** https://roboflow.com/
- **Category:** AI Integration MCP Servers
- **Tags:** Computer Vision, Object Detection, Image Analysis
- **Updated:** 2026-03-20 19:40
- **Canonical page:** https://mcpserver.ever.works/id/items/roboflow-mcp-server

## Details

## Overview

Roboflow offers an MCP (Model Context Protocol) server for building and using computer vision models. Over 1 million engineers deploy visual intelligence for video, images, and real-time streams with Roboflow. The platform is an end-to-end computer vision solution designed for teams building production-ready models.

## Features

### Computer Vision Capabilities

- **Object Detection**: Identify and locate objects in images and videos
- **Segmentation**: Pixel-level object segmentation
- **Classification**: Image classification models
- **Keypoint Detection**: Pose estimation and keypoint tracking
- **Foundation Models**: CLIP, SAM-2, and Florence-2 integration

### Platform Features

- **Dataset Management**: Organize and manage training datasets
- **Annotation Tools**: Built-in annotation interface
- **Model Training**: Train custom models on your data
- **Deployment**: Production-ready inference server
- **Inference**: Turn any computer or edge device into a command center

## MCP Integration

The MCP server enhances Roboflow experience by:

- Automating tasks
- Taking real-time actions
- Seamlessly connecting apps using the Model Context Protocol
- Connecting Roboflow actions with AI tools like ChatGPT, Claude, and Cursor

## Inference Capabilities

Inference turns any computer or edge device into a command center for your computer vision projects with:

- Easy-to-use, production-ready inference server
- Deployment of many popular model architectures
- Support for real-time video processing
- Edge device deployment

## Use Cases

- Production object detection systems
- Real-time video analytics
- Quality control automation
- Security and surveillance
- Retail analytics
- Manufacturing inspection
- Sports analytics

## Integration Methods

Available through platforms like:
- Pipedream MCP integration
- viaSocket MCP connector
- Direct API integration

## Pricing

Multiple tiers available:
- Free tier for development
- Pro and Enterprise plans for production use
- Custom pricing for large-scale deployments

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