Yolo MCP Server

mcp-yolo

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

1 2 tools GitHub PyPI

No known CVEs

No license

Maintained

Last commit 124d ago

Works with most clients

Transport: sse, http

2 tools · ~211 tok

Grade A · 0.1% of 200K ctx

Edit this pageView history

AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopsse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-rjn32s-mcp-yolo": {
      "args": [
        "mcp-yolo"
      ],
      "command": "uvx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-rjn32s-mcp-yolo)](https://mcppedia.org/s/io-github-rjn32s-mcp-yolo)

Read me

What Yolo MCP Server does

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.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'mcp-yolo' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

79/100across 5 weighted dimensions

How we score →

0255075100

−21

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked mcp-yolo against OSV.dev.

Inventory

Tools (2)

Click any tool to inspect its schema.

~211 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Yolo MCP Server safe to use?: Yolo MCP Server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install Yolo MCP Server?: Yolo MCP Server supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Yolo MCP Server do?: Yolo MCP Server provides 2 tools: detect_objects, segment_objects. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Yolo MCP Server?: Yolo MCP Server is compatible with claude-desktop, cursor, claude-code. It uses sse and http transport.
Is Yolo MCP Server actively maintained?: Yolo MCP Server is less actively maintained — last commit was 124 days ago. It has 1 GitHub stars.

Similar servers

Others in ai-ml

View all →

Sequential Thinking MCP Server98

Dynamic problem-solving through sequential thought chains

87.9k 1

Memory MCP Server98

Persistent memory using a knowledge graph

87.9k 5

Gpt Researcher95

An autonomous agent that conducts deep research on any data using any LLM providers

28.0k 5

Ruflo95

🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code / Codex Integration

62.2k 4

MCP Security Weekly

Get CVE alerts and security updates for Yolo MCP Server and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

MCP-YOLO

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.

Key Features

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 objects.

Flexible Image Inputs: Supports local file paths, remote URLs, and Base64 encoded strings.

Agent Optimized: Includes custom "Skills" for autonomous deployment and benchmarking.

YOLOE Performance Reference

YOLOE builds upon the latest YOLO architectures (like YOLO11 and YOLO26) to provide state-of-the-art open-vocabulary performance.

Model

Based On

mAP (COCO)

Speed (T4/ms)

Params (M)

YOLOE26-N

YOLO26-N

40.9

1.7

~3.0

YOLOE26-S

YOLO26-S

48.6

2.5

~10.0

YOLOE26-L

YOLO26-L

55.0

6.2

~40.0

YOLOE-L

YOLO11-L

~52.0

~5.0

~26.0

Note: Performance varies depending on the hardware and input resolution. mcp-yolo uses yoloe-26l-seg.pt by default for high precision.

MCP Tools

detect_objects

Performs zero-shot detection.

Arguments:

image_source (str): Path, URL, or Base64.
classes (list[str], optional): Custom text prompts to detect.

segment_objects

Performs zero-shot instance segmentation.

Arguments:

image_source (str): Path, URL, or Base64.
classes (list[str], optional): Custom text prompts to segment.

Frequently Asked Questions

Is Yolo MCP Server safe to use?

Yolo MCP Server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install Yolo MCP Server?

Yolo MCP Server supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can Yolo MCP Server do?

Yolo MCP Server provides 2 tools: detect_objects, segment_objects. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Yolo MCP Server?

Yolo MCP Server is compatible with claude-desktop, cursor, claude-code. It uses sse and http transport.

Is Yolo MCP Server actively maintained?

Yolo MCP Server is less actively maintained — last commit was 124 days ago. It has 1 GitHub stars.

MCP-YOLO

mcp-name: io.github.rjn32s/mcp-yolo

Key Features

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 objects.
Flexible Image Inputs: Supports local file paths, remote URLs, and Base64 encoded strings.
Agent Optimized: Includes custom "Skills" for autonomous deployment and benchmarking.

YOLOE Performance Reference

YOLOE builds upon the latest YOLO architectures (like YOLO11 and YOLO26) to provide state-of-the-art open-vocabulary performance.

Model	Based On	mAP (COCO)	Speed (T4/ms)	Params (M)
YOLOE26-N	YOLO26-N	40.9	1.7	~3.0
YOLOE26-S	YOLO26-S	48.6	2.5	~10.0
YOLOE26-L	YOLO26-L	55.0	6.2	~40.0
YOLOE-L	YOLO11-L	~52.0	~5.0	~26.0

Note: Performance varies depending on the hardware and input resolution. mcp-yolo uses yoloe-26l-seg.pt by default for high precision.

Quick Start

Installation

uv pip install mcp-yolo

Running the Server

uv run mcp-yolo

MCP Tools

`detect_objects`

Performs zero-shot detection.

Arguments:
- image_source (str): Path, URL, or Base64.
- classes (list[str], optional): Custom text prompts to detect.

`segment_objects`

Performs zero-shot instance segmentation.

Arguments:
- image_source (str): Path, URL, or Base64.
- classes (list[str], optional): Custom text prompts to segment.

Publishing

This project is configured for automated PyPI publishing. See the pypi_setup_guide.md for details.