# Depth Pro MCP Server

> Depth Pro MCP Server — neosun100-depth-pro-docker. Use this tool when you need to estimate depth from 2D images, enabling applications such as 3D reconstruction, object detection, and scene understanding. The Depth Pro MCP Server takes image inputs and produces depth maps as outputs, with support for single or batch processing and GPU management. Ideal for use cases requiring accurate monocular depth estimation, such as robotics, autonomous vehicles, and augmented reality.

Canonical page: https://skillsregistry.net/skills/neosun100-depth-pro-docker  
JSON: https://api.skillsregistry.net/v1/skills/neosun100-depth-pro-docker

## Description

Enables AI assistants to perform monocular depth estimation on images using Apple's Depth Pro model, with tools for single or batch processing and GPU management.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rl7ocamai7)
- **Repository:** <https://github.com/neosun100/depth-pro-docker>

## 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": "neosun100-depth-pro-docker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neosun100-depth-pro-docker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neosun100-depth-pro-docker/pull`

---
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