# glm-vision-mcp

> glm-vision-mcp — kkdnn-glm-vision-mcp. Use this tool when you need to analyze images and extract text from various sources, such as screenshots and documents, to enable AI assistants to understand visual content. It solves problems like image-based data extraction and text recognition, supporting inputs from URLs, base64 encoded strings, and local files. The tool provides outputs that can be used to inform decision-making, answer questions, or trigger further actions in AI-driven workflows.

Canonical page: https://skillsregistry.net/skills/kkdnn-glm-vision-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kkdnn-glm-vision-mcp

## Description

Provides image understanding and OCR via GLM-4.6V-Flash, supporting URL, base64, and local file inputs. Enables AI assistants to analyze images and extract text from screenshots, documents, and more.

## Trust

- **Trust score (0–1):** 0.69
- **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/tyikyaijnl)
- **Repository:** <https://github.com/kkdnn/glm-vision-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": "kkdnn-glm-vision-mcp"
    }
  }
}
```

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