# vlm-mcp

> vlm-mcp — yc-clt-vlm-mcp. Use this tool when you need to analyze and understand images through a unified API, enabling functionalities such as image analysis, OCR, chart analysis, translation, and multi-turn Q&A sessions. It solves problems related to visual data extraction and interpretation, supporting both local and online backends. Ideal for applications requiring image understanding, such as data extraction, language translation, and visual question answering.

Canonical page: https://skillsregistry.net/skills/yc-clt-vlm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yc-clt-vlm-mcp

## Description

Enables VLM-based image understanding through a unified API, supporting local llama.cpp and online Qwen3-VL backends, with tools for image analysis, OCR, chart analysis, translation, and multi-turn Q&A sessions.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hphektuxq4)
- **Repository:** <https://github.com/YC-CLT/VLM-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": "yc-clt-vlm-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yc-clt-vlm-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yc-clt-vlm-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