mcp-multimedia-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MCP_PORT | No | Port for SSE transport (optional) | |
| MCP_TRANSPORT | No | Transport mode, e.g., 'sse' (optional) | |
| MCP_MEDIA_MODEL | No | Model name to use | mimo-v2.5 |
| MCP_MEDIA_API_KEY | Yes | API key for the OpenAI compatible endpoint | |
| MCP_MEDIA_BASE_URL | No | OpenAI compatible endpoint URL | https://opencode.ai/zen/go/v1 |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_imageA | 图片理解/OCR:分析一张或多张图片,支持描述、文字识别(OCR)、图表/UI/报错诊断等。单张用 image,多张(如文档多页)用 image_batch 数组。可用 preset 选任务类型(describe/ocr/chart/ui/diagram/error)或自由写 prompt。本地图片自动压缩优化(OCR 足够清晰、更快更省),需原图细节可设 compress=false。 |
| analyze_videoA | 视频理解:让模型描述视频内容、按时间顺序总结。支持本地文件、URL 或 base64,本地视频自动压缩。fps 控制抽帧密度(默认 2,范围 1-30;越大时序越精细、越耗 token),一般用默认即可。 |
| analyze_audioA | 音频理解/STT:转录或总结一段音频内容。推荐用本地文件或 base64(URL 音频可能不被识别)。不传 prompt 默认转录并总结主旨。 |
| asrA | 语音转写(ASR):把音频转成纯文本,适合会议记录、方言、嘈杂环境录音。仅支持 wav/mp3,最大 10MB。用 language 明确语种(auto/zh/en)可提高准确率。 |
| image_metadataC | 读取本地图片的元信息(尺寸、格式、颜色模式、EXIF/GPS)。需本地文件路径,不调用云端。 |
| get_server_statusA | 查询服务状态:云端模型是否已配置、当前模型与各项限制/处理参数。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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