MCP Servers

glm-vision-mcp

MCP server that exposes GLM-4.6V-Flash (free vision model) image analysis to any MCP client, supporting single/multi-image analysis, OCR, and multi-image comparison via an analyze_image tool that accepts local paths, HTTP(S) URLs, or base64 data URIs, with rate-limit resilience and multi-key failover.

README

glm-vision-mcp

封装智谱 GLM-4.6V-Flash（免费视觉模型）的 MCP 服务器，向任意 MCP 客户端暴露一个 analyze_image 工具，支持单图/多图分析、OCR、多图对比。

特性

能力	说明
图片分析	本地路径 / http(s) URL / base64 data URI 均可，自动转 data URI
多图对比	多张图片一次传入，按 prompt 对比分析
限流韧性	429 / 1302 / 1305 指数退避重试 → 多 Key 轮询 → 降级备用模型 `glm-4.1v-thinking-flash`
配置自查	`check_config` 工具检查 Key/模型/端点，不泄露 Key

环境要求

Python >= 3.10
智谱开放平台 API Key（https://open.bigmodel.cn/usercenter/apikeys），glm-4.6v-flash 免费
想进一步降低限流概率，可注册多个账号各取一个 Key，配置时用英文逗号分隔

安装

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

启动

# 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

客户端配置

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" }
    }
  }
}

工具接口

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

参数	类型	必填	说明
`images`	string[]	是	本地路径 / http(s) URL / data URI
`prompt`	string	否	分析要求，默认“请详细描述这张图片的内容”
`temperature`	number	否	0.0~1.0，默认 0.7
`max_tokens`	integer	否	最大输出 token，默认 2048
`thinking`	boolean	否	深度思考模式，默认 false

环境变量

变量	必填	说明
`ZHIPU_API_KEY`	是	智谱 API Key，逗号分隔支持多 Key 轮询
`GLM_VISION_MODELS`	否	模型优先级，逗号分隔，默认 `glm-4.6v-flash,glm-4.1v-thinking-flash`
`GLM_API_BASE`	否	覆盖 API 端点

注意事项

本地图片单张 ≤ 10MB，支持 jpg/jpeg/png/webp/gif/bmp
免费模型高峰期可能限流，全部 Key + 全部模型都限流时才报错，稍等 15~30 秒错峰重试
401/400 等非限流错误不降级不重试，直接返回，便于定位配置问题

验证

# 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

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