# mcp-vision-server

> mcp-vision-server — ldfer-mcp-vision-server. Use this tool when you need to analyze images and extract meaningful information from them, solving problems such as image classification, object detection, and text extraction. The mcp-vision-server takes image inputs and returns text outputs through its analyze_image tool, leveraging OpenAI-compatible vision models. It is ideal for use cases where visual data needs to be converted into actionable text insights, accessible from any MCP client.

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

## Description

MCP server exposing an analyze_image tool that sends images to an OpenAI-compatible vision model and returns text answers, usable from any MCP client.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/liptnkbfxn)
- **Repository:** <https://github.com/LDFer/mcp-vision-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": "ldfer-mcp-vision-server"
    }
  }
}
```

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