# MCP Vision Server

> Use this tool when you need to analyze images, recognize objects, or extract text using OCR, and integrate advanced computer vision capabilities into your applications. It solves problems such as automating image processing, enhancing visual dialogue systems, and improving text extraction accuracy. The MCP Vision Server accepts local files or Base64 inputs and provides outputs through OpenAI-compatible APIs, making it ideal for use cases requiring advanced image analysis and visual understanding.

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

## Description

Provides advanced image analysis capabilities including object recognition, OCR text extraction, and multi-turn visual dialogues using OpenAI-compatible APIs. It supports both local files and Base64 inputs with additional features for session persistence and web-based configuration management.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/egphw08m1m)
- **Repository:** <https://github.com/LZMW/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": "lzmw-mcp-vision-server"
    }
  }
}
```

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