# OpenCV MCP Server

> Use this tool when you need to leverage computer vision capabilities in AI assistants, enabling tasks such as image processing, object detection, and video analysis through natural language inputs. It solves problems like image and video analysis, object recognition, and facial detection, providing outputs in a machine-readable format. Ideal for use cases requiring visual data analysis and interpretation, such as surveillance, robotics, or automated inspection systems.

Canonical page: https://skillsregistry.net/skills/gongrzhe-opencv-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/gongrzhe-opencv-mcp-server

## Description

Provides OpenCV computer vision capabilities for AI assistants, enabling image processing, object detection, face detection, and video analysis through natural language.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wxk4xj87fz)
- **Repository:** <https://github.com/GongRzhe/opencv-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gongrzhe-opencv-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gongrzhe-opencv-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gongrzhe-opencv-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt