io.github.rjn32s/mcp-yolo

MCPcommunity
v0.1.2io.github.rjn32sUnknownUpdated 7mo 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.,…

Works in
ClaudeCursorCopilotGemini

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1GitHub stars
1Forks
7mo agoLast update
Package
Authorio.github.rjn32s
LicenseUnknown
Version0.1.2
Sourcemcp-registry
GitHubrjn32s/mcp-yolo
SBOMCycloneDX 1.6 ↓
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/20
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/5
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—Domain verification+0/5
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—npm Trusted Publishing (Sigstore)+0/5
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—npm maintainer match+0/5
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✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv0.1.5 · 3mo agoHow well does this scan work?
EvalsNone
IndexedJun 13, 2026

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Tools

No tool declarations found in the source3mo ago

Forge read 0 source files from the published package tarball and matched no MCP tool registrations. Extraction is pattern-based over shipped source: a server that builds its tool list at runtime, or that ships only bundled or minified code, registers nothing this can see. Treat it as “not detected”, not as “exposes none”.

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
Alternatives
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No dependency coverage

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