# Moondream MCP Server

> Use this tool when you need to analyze images and extract meaningful information, such as captions, object detections, or answers to visual questions. The Moondream MCP Server integrates with AI assistants to provide advanced image analysis capabilities through the Model Context Protocol. It accepts image inputs and returns detailed analysis outputs, making it ideal for applications requiring intelligent visual understanding.

Canonical page: https://skillsregistry.net/skills/nighttrek-moondream-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nighttrek-moondream-mcp

## Description

A powerful server that integrates the Moondream vision model to enable advanced image analysis, including captioning, object detection, and visual question answering, through the Model Context Protocol, compatible with AI assistants like Claude and Cline.

## Trust

- **Trust score (0–1):** 0.82
- **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/fe8yb984ej)
- **Repository:** <https://github.com/NightTrek/moondream-mcp>

## 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": "nighttrek-moondream-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nighttrek-moondream-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nighttrek-moondream-mcp/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