io.github.rjn32s/mcp-yolo

MCPcommunity
v0.1.2io.github.rjn32sUnknownUpdated 4mo agoGitHub

An MCP server providing zero-shot object detection and segmentation using Ultralytics YOLOE.

mcp-name: io.github.rjn32s/mcp-yolo MCP-YOLO is an agent-first development platform that provides Zero-Shot Object Detection and Segmentation as a Model Context Protocol (MCP) server. Powered by Ultralytics YOLOE, it enables developers and AI agents to detect and segment objects using arbitrary text prompts without retraining. Zero-Shot Detection: Detect any object using natural language (e.g.,…

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4mo agoLast update
Package
Authorio.github.rjn32s
LicenseUnknown
Version0.1.2
Sourcemcp-registry
GitHubrjn32s/mcp-yolo
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
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StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv0.1.5 · 19d ago
EvalsNone
IndexedJun 13, 2026

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About

mcp-name: io.github.rjn32s/mcp-yolo MCP-YOLO is an agent-first development platform that provides Zero-Shot Object Detection and Segmentation as a Model Context Protocol (MCP) server. Powered by Ultralytics YOLOE, it enables developers and AI agents to detect and segment objects using arbitrary text prompts without retraining. Zero-Shot Detection: Detect any object using natural language (e.g., "the blue coffee cup next to the spoon"). Instance Segmentation: Precise polygon masks for discovered…

Keywords
mcp