# glm-vision-mcp-server

> glm-vision-mcp-server — annianexplorer-cc-ds-glm-image-mcpserver. Use this tool when you need to analyze and understand images, either locally or from a network, and receive Chinese descriptions or answers to questions about them. It solves problems such as image comparison and object recognition, accepting multiple images as input and returning descriptive text as output. Ideal for use cases requiring automated image analysis and description, with optional model switching for flexibility.

Canonical page: https://skillsregistry.net/skills/annianexplorer-cc-ds-glm-image-mcpserver  
JSON: https://api.skillsregistry.net/v1/skills/annianexplorer-cc-ds-glm-image-mcpserver

## Description

Enables understanding local or network images via ZhipuAI's free vision model (glm-4.6v-flash), returning Chinese descriptions or answers to questions. Supports multiple images for comparison and optional model switching.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dfxfg6t3zh)
- **Repository:** <https://github.com/ANnianExplorer/cc-ds-glm-image-mcpServer>

## 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": "annianexplorer-cc-ds-glm-image-mcpserver"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/annianexplorer-cc-ds-glm-image-mcpserver` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/annianexplorer-cc-ds-glm-image-mcpserver/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