{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_vucvbh4q3y8v","handle":"auto-video-mcp","url":"https://wellknown.network/agents/auto-video-mcp","links":{"self":"https://wellknown.network/agents/auto-video-mcp/record.json","html":"https://wellknown.network/agents/auto-video-mcp","markdown":"https://wellknown.network/agents/auto-video-mcp/record.md","api":"https://wellknown.network/api/v1/agents/auto-video-mcp","status":"https://wellknown.network/api/v1/agents/auto-video-mcp/status","claim":"https://wellknown.network/agents/auto-video-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/auto-video-mcp/claim.json","badge":"https://wellknown.network/agents/auto-video-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json"},"ard":{"identifier":"urn:air::server:auto-video-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"auto-video-mcp","summary":"飞影数字人API服务，提供数字人相关功能","description":"# auto_video_mcp: 一站式自动生成视频MCP服务\n\n**一站式自动生成视频 MCP 服务** 是一个基于 [FastMCP](https://github.com/mcp-suite/fastmcp) 框架构建的强大后端服务。它不仅无缝集成了**飞影数字人**的先进 API，还整合了多种网络内容获取工具，为大语言模型（LLM）提供了一套从内容获取、声音克隆到视频创作的全链路自动化功能。\n\n该项目利用 SQLAlchemy 2.0 进行异步数据库操作，并通过一个后台任务管理器自动更新任务状态，确保了系统的高效和稳定。\n\n## ✨ 功能特性\n\n- **数字人克隆**：支持通过照片或视频创建个性化的数字人形象。\n- **声音克隆**：支持通过音频文件或文本创建和管理自定义声音。\n- **视频创作**：支持通过文本驱动（Text-to-Video）或音频驱动（Audio-to-Video）两种方式创作数字人视频。\n- **音频创作**：支持通过文本生成高质量的语音内容（Text-to-Speech）。\n- **内容聚合**：内置多个内容抓取工具，支持从网站、RSS源等自动获取最新资讯。\n- **文件管理**：提供文件上传接口，方便管理媒体资源。\n- **状态查询**：提供任务状态、数字人列表、声音列表等多种查询功能。\n- **异步任务处理**：所有耗时操作（如视频生成）均为异步处理，并自动更新任务状态。\n\n## 🛠️ 可用工具\n\n服务器提供以下工具，可供 LLM 或其他客户端直接调用：\n\n### 数字人与多媒体创作工具\n- **Avatar Tools (`avatar_tools`)**:\n  - `create_personal_avatar_by_photo`: 通过单张照片创建个人数字人。\n  - `create_personal_avatar_by_video`: 通过视频文件创建个人数字人。\n- **Voice Tools (`voice_tools`)**:\n  - `create_voice_by_file`: 通过音频文件克隆声音。\n  - `create_voice_by_text`: 通过文本创建声音（用于声音定制）。\n- **Video Creation Tools (`video_tools`)**:\n  - `create_video_by_audio`: 使用指定的数字人和音频文件创作视频。\n  - `create_video_by_script`: 使用指定的数字人和文本脚本创作视频。\n- **Audio Creation Tools (`audio_tools`)**:\n  - `create_audio_by_text`: 将文本转换为语音。\n- **File Upload Tools (`upload_tools`)**:\n  - `upload_file`: 上传媒体文件（音频、视频）到服务器。\n\n### 网络与内容工具 (`web_tools`)\n- `get_baidu_trending`: 获取百度热搜榜。\n- `get_36kr_news`: 获取 36氪 最新资讯。\n- `get_autohome_news`: 获取汽车之家最新资讯。\n- `get_custom_rss`: 从指定的 RSS 源获取内容。\n- `crawl_website`: 爬取指定网页的结构化内容。\n- `web_search`: 执行网络搜索。\n\n### 查询工具 (`query_tools`)\n- `query_task_status`: 查询指定任务的当前状态和结果。\n- `query_personal_avatars`: 查询已创建的个人数字人列表。\n- `query_personal_voices`: 查询已创建的个人声音列表。\n- `query_public_avatars`: 查询公共数字人列表。\n- `query_public_voices`: 查询公共声音列表。\n- `query_video_templates`: 查询可用的视频模板。\n\n## 🚀 快速开始\n\n### 1. 环境要求\n- Python 3.11+\n- 飞影数字人 API Token,项目必备 [申请地址](https://hifly.cc/i/tzZz0sFHXMu)\n- FireCrawl API Key (如果使用 `crawl_website` 工具) [申请地址](https://www.firecrawl.dev/referral?rid=WZEEPH67)\n\n### 2. 安装步骤\n\n1.  **克隆仓库**:\n    ```bash\n    git clone https://github.co…","publisher":null,"homepage":"https://github.com/fancyboi999/auto_video_mcp","repository":"https://github.com/fancyboi999/auto_video_mcp/issues","version":"0.1.1","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:auto-video-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"media.video-generation","name":"Video Generation","confidence":0.917,"provenance":"derived"},{"slug":"data.web-scraping","name":"Web Scraping","confidence":0.802,"provenance":"derived"},{"slug":"dev.version-control","name":"Version Control","confidence":0.745,"provenance":"derived"},{"slug":"data.news","name":"News & Feeds","confidence":0.722,"provenance":"derived"}],"categories":["data","dev","media"],"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":"auto-video-mcp","registry":"pypi","observedAt":"2026-09-09T09:25:21.221Z","publishedAt":"2025-07-07T09:54:03.416843Z","latestVersion":"0.1.1"}},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"auto-video-mcp","url":"https://pypi.org/project/auto-video-mcp/","firstSeenAt":"2026-09-09T09:24:33.158Z","fetchedAt":"2026-09-09T09:24:33.158Z","normalizedAt":"2026-09-09T09:24:33.158Z"}]},"firstSeenAt":"2026-09-09T09:24:33.158Z","updatedAt":"2026-09-09T09:25:21.221Z"}