mcp-yolo
An MCP server providing zero-shot object detection and segmentation using Ultralytics YOLOE. It enables developers and AI agents to detect and segment objects using arbitrary text prompts without retraining, supporting local file paths, remote URLs, and Base64 encoded strings.
Package and access
Local package with source-attributed installation metadata. Koskamo does not execute packages during review.
Checks and signals
Each line is separate evidence, not a trust score.
- Popularity 1 GitHub star
What you can do with it
- Perform zero-shot object detection using natural language prompts
- Execute zero-shot instance segmentation to generate precise polygon masks
- Process images from local file paths, remote URLs, or Base64 strings
Source and maintenance
- Last repository push
- Maintenance checked
Packages and installation
Source-provided package data. Koskamo has not executed or live-probed this package.
mcp-yolo 0.1.2
{
"version": "0.1.2",
"transport": "stdio",
"identifier": "mcp-yolo",
"registryType": "pypi"
}Tools
Reported by the attributed source; not independently observed by Koskamo.
Maintenance history
Public check and source-refresh events. Editorial and ownership records remain private.
- · repository · passed · metadata changed · updated
- · backfill · recorded · Pre-expansion baseline; unobserved rich metadata remains unknown
Connect from your client
Each snippet configures the same source-provided package; replace placeholders before use.
Cursor
{
"mcpServers": {
"mcp-yolo": {
"command": "uvx",
"args": [
"mcp-yolo==0.1.2"
]
}
}
}Cline
{
"mcpServers": {
"mcp-yolo": {
"command": "uvx",
"args": [
"mcp-yolo==0.1.2"
]
}
}
}VS Code
{
"servers": {
"mcp-yolo": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-yolo==0.1.2"
]
}
}
}Claude Desktop
{
"mcpServers": {
"mcp-yolo": {
"command": "uvx",
"args": [
"mcp-yolo==0.1.2"
]
}
}
}Let your agent find its tools
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