Schema | mcp-vision

mcp-vision

Describes the environment variables required to run the server.

Name	Required	Description	Default
`OPENAI_MODEL`	No	Model override for OpenAI
`MCP_OCR_MODEL`	No	Model for custom provider
`OPENAI_API_KEY`	No	API key for OpenAI
`ANTHROPIC_MODEL`	No	Model override for Anthropic
`DASHSCOPE_MODEL`	No	Model override for DashScope
`MCP_OCR_API_KEY`	No	API key for custom provider
`MCP_OCR_BASE_URL`	No	Base URL for custom provider
`MCP_OCR_PROVIDER`	No	Provider selection (siliconflow, dashscope, volcengine, openai, anthropic, baidu_ocr, tencent_ocr, custom)	siliconflow
`VOLCENGINE_MODEL`	No	Model override for Volcengine
`ANTHROPIC_API_KEY`	No	API key for Anthropic
`BAIDU_OCR_API_KEY`	No	API key for Baidu OCR
`DASHSCOPE_API_KEY`	No	API key for Alibaba DashScope
`SILICONFLOW_MODEL`	No	Model override for Siliconflow
`TENCENT_SECRET_ID`	No	Secret ID for Tencent OCR
`TENCENT_SECRET_KEY`	No	Secret key for Tencent OCR
`VOLCENGINE_API_KEY`	No	API key for Volcengine
`SILICONFLOW_API_KEY`	No	API key for Siliconflow
`BAIDU_OCR_SECRET_KEY`	No	Secret key for Baidu OCR

Features and capabilities supported by this server

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
analyze_imageA	分析图片内容。支持本地文件路径和远程 URL。可用于图像描述、视觉问答、图表分析等场景。 Args: image: 图片路径（本地绝对路径）或远程 URL prompt: 分析提示词，描述你希望如何分析这张图片。默认详细描述图片内容
ocr_extractA	从图片或 PDF 中提取文字（OCR）。适合识别截图、文档、代码中的文本内容。 Args: image: 图片或 PDF 文件路径（本地绝对路径）或远程 URL prompt: OCR 提示词。默认提取并格式化所有文字内容
ocr_preciseA	使用传统 OCR 引擎精准提取图片中的文字（返回结构化结果，含文字坐标和置信度）。需要配置百度 OCR 或腾讯云 OCR 作为 Provider。适合需要精确文字位置信息的场景（如发票、卡证、表格）。 Args: image: 图片文件路径（本地绝对路径）或远程 URL

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/hahahahanb/mcp-vision'

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