{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_cxpedq5ay8je","handle":"aigroup-video-mcp","url":"https://wellknown.network/agents/aigroup-video-mcp","links":{"self":"https://wellknown.network/agents/aigroup-video-mcp/record.json","html":"https://wellknown.network/agents/aigroup-video-mcp","markdown":"https://wellknown.network/agents/aigroup-video-mcp/record.md","api":"https://wellknown.network/api/v1/agents/aigroup-video-mcp","status":"https://wellknown.network/api/v1/agents/aigroup-video-mcp/status","claim":"https://wellknown.network/agents/aigroup-video-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/aigroup-video-mcp/claim.json","badge":"https://wellknown.network/agents/aigroup-video-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json"},"ard":{"identifier":"urn:air::server:aigroup-video-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"aigroup-video-mcp","summary":"A MCP server for video multimodal understanding based on Alibaba Cloud DashScope","description":"# Aigroup Video MCP \n \nAigroup Video MCP 是一个基于阿里云 DashScope 的视频多模态理解 MCP（Model Context Protocol）服务器，提供强大的视频内容分析功能。 \n \n[![Python](https://img.shields.io/badge/python-3.8+-blue.svg)](https://python.org) \n[![License](https://img.shields.io/badge/license-MIT-green.svg)](LICENSE) \n[![MCP](https://img.shields.io/badge/MCP-compatible-orange.svg)](https://modelcontextprotocol.io) \n \n## 🌟 特性 \n \n- **🎥 视频内容分析**：支持通过 URL 或本地路径分析视频内容 \n- **🧠 智能摘要**：自动生成视频摘要和关键信息 \n- **🎬 场景识别**：识别视频中的主要场景和场景转换 \n- **✨ 自定义提示词**：支持灵活的自定义分析需求 \n- **🔌 MCP 协议支持**：完全兼容 MCP 协议，支持 stdio 和 SSE 模式 \n- **⚡ 高性能处理**：基于异步处理，支持并发请求 \n- **📊 使用统计**：内置使用统计和监控功能 \n- **🛡️ 安全配置**：支持域名白名单、文件大小限制等安全特性 \n \n## 🎯 核心功能 \n \n### 视频分析工具 \n \n- **analyze_video**: 基础视频内容分析 \n- **summarize_video**: 视频摘要生成（支持简要、详细、通用三种模式） \n- **analyze_video_scenes**: 视频场景分析和转换检测 \n- **analyze_video_custom**: 自定义提示词视频分析 \n- **validate_video_source**: 视频源验证和检查 \n \n### 系统资源 \n \n- **config://system**: 系统配置信息 \n- **models://available**: 可用模型信息 \n- **status://system**: 系统状态和健康检查 \n- **stats://usage**: 使用统计和分析报告 \n \n## 🚀 快速开始 \n \n### 环境要求 \n \n- Python 3.8+ \n- DashScope API Key \n \n### 安装 \n \n```bash \n# 克隆项目 \ngit clone https://github.com/jackdark425/aigroup-video-mcp.git \ncd aigroup-video-mcp \n \n# 安装依赖 \npip install -r requirements.txt \n \n# 或使用 pip 安装 \npip install aigroup-video-mcp \n``` \n \n### 配置 \n \n1. 复制环境变量示例文件： \n \n```bash \ncp .env.example .env \n``` \n \n2. 编辑 `.env` 文件，设置你的 DashScope API Key： \n \n```bash \nDASHSCOPE_API_KEY=your_dashscope_api_key_here \n``` \n \n3. 或者直接设置环境变量： \n \n```bash \nexport DASHSCOPE_API_KEY=your_dashscope_api_key_here \n``` \n \n### 运行服务器 \n \n#### MCP 模式（默认） \n \n```bash \n# 使用 stdio 传输模式（推荐用于 MCP 客户端） \npython -m aigroup_video_mcp.main serve \n``` \n \n#### SSE 模式 \n \n```bash \n# 使用 SSE 传输模式（用于 HTTP 客户端） \npython -m aigroup_video_mcp.main serve --transport sse --host 0.0.0.0 --port 3001 \n``` \n \n## 📖 使用示例 \n \n### 命令行工具 \n \n#### 分析视频文件 \n \n```bash \n# 基础视频分析 \npython -m aigroup_video_mcp.main analyze video.mp4 \n \n# 使用自定义提示词 \npython -m aigroup_video_mcp.main analyze vid…","publisher":null,"homepage":"https://github.com/aigroup/aigroup-video-mcp#readme","repository":"https://github.com/aigroup/aigroup-video-mcp/issues","version":"1.1.1","license":"MIT","protocols":["mcp"],"tags":["mcp","video","ai","dashscope","multimodal"],"pricing":null,"endpoints":[{"url":"pypi:aigroup-video-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"dev.version-control","name":"Version Control","confidence":0.745,"provenance":"derived"}],"categories":["dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"aigroup-video-mcp","registry":"pypi","observedAt":"2026-09-09T08:22:41.348Z","publishedAt":"2025-08-26T07:52:08.448546Z","latestVersion":"1.1.1"}},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"aigroup-video-mcp","url":"https://pypi.org/project/aigroup-video-mcp/","firstSeenAt":"2026-09-09T08:21:41.481Z","fetchedAt":"2026-09-09T08:21:41.481Z","normalizedAt":"2026-09-09T08:21:41.481Z"}]},"firstSeenAt":"2026-09-09T08:21:41.481Z","updatedAt":"2026-09-09T08:22:41.349Z"}