# GLM Vision

> Use this tool when you need to analyze images using AI-powered vision models, solving problems such as image classification and object detection, and integrate it into your workflow. It takes local files or URLs as input and provides configurable parameters like temperature control and token limits, outputting analyzed image data. Ideal for developers seeking to leverage Z.AI's GLM vision models for image analysis tasks, particularly those requiring customizable and asynchronous operations.

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

## Description

This MCP server by danilofalcao integrates GLM-4.5V vision model from Z.AI, providing image analysis capabilities through a single tool that supports both local files and URLs. Built with FastMCP and httpx for async HTTP operations, it features configurable parameters including temperature control, thinking mode for exposing model reasoning, and adjustable token limits up to 64K. The implementation includes comprehensive error handling, base64 encoding for local images, MIME type detection, and GitHub Actions workflows for CI/CD with PyPI publishing, making it valuable for developers who need AI-powered image analysis integrated into their workflows using Z.AI's GLM vision models rather than OpenAI's alternatives.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/danilofalcao-glm-vision)
- **Repository:** <https://github.com/danilofalcao/mcp-server-glm-vision>

## 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": "danilofalcao-glm-vision"
    }
  }
}
```

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