GLM-4.6V-Flash MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GLM_MODEL | No | 覆盖模型 ID (override the model ID) | glm-4.6v-flash |
| GLM_API_KEY | No | Alternative environment variable for the Zhipu API Key (compatible with ZHIPU_API_KEY) | |
| GLM_TIMEOUT | No | 请求超时秒数 (request timeout in seconds) | 120 |
| GLM_API_BASE | No | 覆盖接口地址 (override the API base URL) | https://open.bigmodel.cn/api/paas/v4/chat/completions |
| ZHIPU_API_KEY | No | 智谱 API Key(必填,兼容 GLM_API_KEY) |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_imageA | 使用 GLM-4.6V-Flash 分析一张图片(OCR、内容理解、表格解析、缺陷检测等)。 Args: image: 图片地址,支持 http(s) URL、data URI,或本地图片文件路径。 prompt: 对图片提出的问题或指令。 thinking: 是否开启深度思考模式。 temperature: 采样温度,0~1。 max_tokens: 最大输出 token 数。 |
| analyze_videoA | 使用 GLM-4.6V-Flash 分析一段视频(视频需为可访问的 URL 或本地视频文件)。 Args: video: 视频地址,支持 http(s) URL、data URI,或本地视频文件路径。 prompt: 对视频提出的问题或指令。 thinking: 是否开启深度思考模式。 temperature: 采样温度,0~1。 max_tokens: 最大输出 token 数。 |
| analyze_fileA | 使用 GLM-4.6V-Flash 分析文档/文件(PDF、TXT 等,支持 URL、data URI 或本地路径)。 Args: file: 文件地址,支持 http(s) URL、data URI,或本地文件路径。 prompt: 对文件提出的问题或指令。 thinking: 是否开启深度思考模式。 temperature: 采样温度,0~1。 max_tokens: 最大输出 token 数。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| help_resource | 读取 GLM MCP 资源的使用方法、payload JSON 格式与可直接使用的示例 URI。 |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/chiyan11/glm-4.6v-flash-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server