Mcp Yolo

Name: Mcp Yolo
Author: rjn32s

by rjn32scommunityv0.1.2

MCP-YOLO is an agent-first development platform that provides Zero-Shot Object Detection and Segmentation as a Model Context Protocol (MCP) server. It enables developers and AI agents to detect and segment objects using arbitrary text prompts without retraining.

From the registry: An MCP server providing zero-shot object detection and segmentation using Ultralytics YOLOE.

GitHub Repository

Install & configure

Prerequisites

required
Install package
Install via uv pip
```
$ uv pip install mcp-yolo
```

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `mcp-yolo` MCP server into my current AI client (that's you).

Required prerequisites (do these first if not already done):
- **Install package** — Install via uv pip Run: `uv pip install mcp-yolo`

Canonical MCP server config (stdio transport):
- command: `uv`
- args: ["run","mcp-yolo"]

Note: Ultralytics YOLOE zero-shot detection and segmentation server.

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Note: Ultralytics YOLOE zero-shot detection and segmentation server.