# GLM-4.6V-Flash MCP Server

> GLM-4.6V-Flash MCP Server — chiyan11-glm-4-6v-flash-mcp. Use this tool when you need to enable text-only Large Language Models (LLMs) to analyze visual data, such as images and videos, or files like PDFs and TXT documents. The GLM-4.6V-Flash MCP Server solves the problem of limited input capabilities in LLMs by providing a standard Model Context Protocol interface. It takes in files and outputs analysis results, allowing for seamless integration with LLM clients like Codex, Cursor, and Claude Desktop.

Canonical page: https://skillsregistry.net/skills/chiyan11-glm-4-6v-flash-mcp  
JSON: https://api.skillsregistry.net/v1/skills/chiyan11-glm-4-6v-flash-mcp

## Description

A Model Context Protocol server that wraps the free GLM-4.6V-Flash vision model, enabling text-only LLM clients like Codex, Cursor, and Claude Desktop to analyze images, videos, and files (PDF/TXT) through standard MCP tools.

## Trust

- **Trust score (0–1):** 0.69
- **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/qtc6qf1a0k)
- **Repository:** <https://github.com/chiyan11/glm-4.6v-flash-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": "chiyan11-glm-4-6v-flash-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chiyan11-glm-4-6v-flash-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chiyan11-glm-4-6v-flash-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