Schema | image-mcp

image-mcp

Describes the environment variables required to run the server.

Name	Required	Description
`ZHIPU_MODEL`	No	Zhipu model name (e.g., glm-4v). Optional, defaults to code default.
`OLLAMA_MODEL`	No	Ollama model name (e.g., llava). Optional, defaults to code default.
`ZHIPU_API_KEY`	No	Zhipu API key (format: xxx.xxx). Required if using Zhipu provider.
`ANTHROPIC_MODEL`	No	Anthropic model name (e.g., claude-sonnet-4-5-20250929). Optional, defaults to code default.
`OLLAMA_BASE_URL`	No	Ollama base URL (e.g., http://localhost:11434). Optional, defaults to http://localhost:11434.
`DEFAULT_PROVIDER`	No	Default provider to use (anthropic, zhipu, or ollama). Optional, auto-selects first configured backend.
`ANTHROPIC_API_KEY`	No	Claude (Anthropic) API key. Required if using Anthropic provider.

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
vision_describeB	对一张本地图片生成详细的文字描述/识别结果
vision_qaA	针对一张本地图片提问，模型根据图片内容回答
vision_analyzeB	对多张本地图片进行综合分析/对比，根据自定义 prompt 给出结论

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/systemmin/image-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server