Roboflow MCP Server
A Model Context Protocol server that gives AI coding agents programmatic access to Roboflow's computer vision platform, providing tools for discovery, rapid creation, inference, workflows, and utilities.
README
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.
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
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.