Moondream MCP Server

A FastMCP server for [Moondream](https://github.com/vikhyat/moondream), an AI vision language model. This server provides image analysis capabilities

Local serverstdioPython

What is the Moondream MCP MCP server?

If you already use Moondream MCP, the moondream mcp mcp server is the piece that lets your assistant work with it directly. A FastMCP server for Moondream, an AI vision language model. This server provides image analysis capabilities including captioning, visual question answering, object detection, and visual pointing.

What the server does

  • 🖼️ Image Captioning: Generate short, normal, or detailed captions for images
  • Visual Question Answering: Ask natural language questions about images
  • 🔍 Object Detection: Detect and locate specific objects with bounding boxes
  • 📍 Visual Pointing: Get precise coordinates of objects in images
  • 🔗 URL Support: Process images from both local files and remote URLs
  • Batch Processing: Analyze multiple images efficiently

Installation

The server ships on PyPI as moondream-mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • Prerequisites — The Prerequisites tool exposed by this server
  • Performance — The Performance tool exposed by this server
  • Contributing — 1. Fork the repository 2. Create a feature branch 3. Make your changes 4. Add tests 5. Run quality checks 6. Submit a pull request

Credentials and setup notes

Configuration is passed through the environment: MOONDREAM_DEVICE. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

  • Python 3.10 or higher - PyTorch 2.0+ (with appropriate device support)

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Where it fits

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Moondream MCP's toolset — Prerequisites, Performance, Contributing — is a fair guide to whether it matches your workflow. It is maintained by ColeMurray; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Moondream MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Available tools

ToolWhat it does
PrerequisitesThe Prerequisites tool exposed by this server.
PerformanceThe Performance tool exposed by this server.
Contributing1. Fork the repository 2. Create a feature branch 3. Make your changes 4. Add tests 5. Run quality checks 6. Submit a pull request

How to install the Moondream MCP MCP server

#### Using pip-installed command

```json
{
  "mcpServers": {
    "moondream": {
      "command": "moondream-mcp",
      "env": {
        "MOONDREAM_DEVICE": "auto"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Python 3.10 or higher - PyTorch 2.0+ (with appropriate device support)
VariableDescriptionRequired
MOONDREAM_DEVICEConfiguration value read at startup.Optional

Example prompts to try

  • Use Moondream MCP to Prerequisites.
  • Use Moondream MCP to Performance.
  • Use Moondream MCP to Contributing.

Frequently asked questions

It connects Moondream MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 3 tools (Prerequisites, Performance, Contributing) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Moondream MCP directly.