# glm-image-mcp-server

> Use this tool when you need to generate images with varying sizes and qualities using the glm-image model. It solves problems such as automating image creation tasks and supports batch processing through a command-line interface. Ideal for use cases requiring efficient and customizable image generation, it takes input parameters like size and quality, and outputs generated images.

Canonical page: https://skillsregistry.net/skills/ex-takashima-glm-image-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ex-takashima-glm-image-mcp-server

## Description

MCP server for generating images using Z.AI's glm-image model. Supports image generation with various sizes and qualities, and includes batch CLI functionality.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/to5f6nd5v5)
- **Repository:** <https://github.com/ex-takashima/glm-image-mcp-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": "ex-takashima-glm-image-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ex-takashima-glm-image-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ex-takashima-glm-image-mcp-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