glm-vision-mcp

An MCP server that wraps the Zhipu GLM-4.6V-Flash (free vision model), exposing an analyze_image tool to any MCP client, with support for single/multi-image analysis, OCR, and multi-image comparison.

Features

Related MCP server: vision-mcp

Requirements

• Python >= 3.10

• Zhipu Open Platform API Key (https://open.bigmodel.cn/usercenter/apikeys), glm-4.6v-flash is free

• To further reduce the chance of rate limiting, you can register multiple accounts and obtain multiple Keys, separated by commas in the configuration

Installation

cd glm-vision-mcp
python -m venv .venv
.venv\Scripts\pip install -r requirements.txt

Startup

# stdio 模式（MCP 客户端默认方式）
$env:ZHIPU_API_KEY = "你的Key"
.venv\Scripts\python server.py

# SSE 调试模式（无鉴权，仅限本机）
.venv\Scripts\python server.py --sse 8090

Client Configuration

Codex (~/.codex/config.toml)

[mcp_servers.glm-vision]
command = "C:\\绝对路径\\glm-vision-mcp\\.venv\\Scripts\\python.exe"
args = ["C:\\绝对路径\\glm-vision-mcp\\server.py"]

[mcp_servers.glm-vision.env]
ZHIPU_API_KEY = "你的Key"
# GLM_VISION_MODELS = "glm-4.6v-flash"
# GLM_API_BASE = "https://open.bigmodel.cn/api/paas/v4/chat/completions"

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "glm-vision": {
      "command": "C:\\绝对路径\\glm-vision-mcp\\.venv\\Scripts\\python.exe",
      "args": ["C:\\绝对路径\\glm-vision-mcp\\server.py"],
      "env": { "ZHIPU_API_KEY": "你的Key" }
    }
  }
}

Tool Interface

analyze_image(images, prompt, temperature, max_tokens, thinking)

Environment Variables

Notes

• Local images must be ≤ 10MB per image, supported formats: jpg/jpeg/png/webp/gif/bmp

• Free models may be rate-limited during peak hours; an error is only raised when all Keys + all models are rate-limited. Wait 15~30 seconds and retry at off-peak times

• Non-rate-limit errors such as 401 are not retried or downgraded; they are returned directly for easier troubleshooting

Verification

# 离线检查（不联网）
.venv\Scripts\python test_smoke.py

# 联网冒烟：MCP 握手 + analyze_image 真实调用
$env:ZHIPU_API_KEY = "你的Key"
.venv\Scripts\python test_smoke.py --live