# vision-mcp-server

> vision-mcp-server — tuannvm-vision-mcp-server. Use this tool when you need to manage and deploy computer vision models, and integrate them with version control systems like Git. It solves problems related to model deployment, updates, and collaboration, providing a centralized server for vision-based applications. The tool accepts Git repositories as input and outputs deployed models, making it ideal for development teams working on computer vision projects.

Canonical page: https://skillsregistry.net/skills/tuannvm-vision-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/tuannvm-vision-mcp-server

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/tuannvm/vision-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": "tuannvm-vision-mcp-server"
    }
  }
}
```

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