{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_ha7fe6kd85yw","handle":"iflow-mcp-undoom-douyin-data-analysis","url":"https://wellknown.network/agents/iflow-mcp-undoom-douyin-data-analysis","links":{"self":"https://wellknown.network/agents/iflow-mcp-undoom-douyin-data-analysis/record.json","html":"https://wellknown.network/agents/iflow-mcp-undoom-douyin-data-analysis","markdown":"https://wellknown.network/agents/iflow-mcp-undoom-douyin-data-analysis/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-undoom-douyin-data-analysis","status":"https://wellknown.network/api/v1/agents/iflow-mcp-undoom-douyin-data-analysis/status","claim":"https://wellknown.network/agents/iflow-mcp-undoom-douyin-data-analysis/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-undoom-douyin-data-analysis/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-undoom-douyin-data-analysis/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-undoom-douyin-data-analysis/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-undoom-douyin-data-analysis/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-undoom-douyin-data-analysis","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_undoom-douyin-data-analysis","summary":"抖音数据分析 MCP 服务器 - 提供抖音视频和用户数据的采集、分析和导出功能","description":"# 抖音数据分析 MCP 服务器\n\n[![PyPI version](https://badge.fury.io/py/undoom-douyin-data-analysis.svg)](https://badge.fury.io/py/undoom-douyin-data-analysis)\n[![Python 3.13+](https://img.shields.io/badge/python-3.13+-blue.svg)](https://www.python.org/downloads/)\n\n基于原始抖音数据分析工具开发的 MCP (Model Context Protocol) 服务器，提供抖音视频和用户数据的采集、分析和导出功能。\n\n**🎉 现已发布到 PyPI，可直接安装使用！**\n\n## 功能特性\n\n### 数据采集\n- **视频搜索**: 根据关键词搜索抖音视频，采集标题、作者、点赞数、评论数等信息\n- **用户搜索**: 根据关键词搜索抖音用户，采集用户名、抖音号、粉丝数、获赞数等信息\n- **自定义参数**: 支持设置滚动次数和延迟时间，控制采集规模和速度\n\n### 数据分析\n- **互动数据分析**: 分析视频的点赞、评论、分享等互动数据，提供统计报告\n- **内容长度分析**: 分析视频标题长度分布，了解内容特征\n- **关键词分析**: 使用中文分词技术分析高频词汇，发现热门话题\n\n### 数据导出\n- **多格式支持**: 支持 JSON、Excel、CSV 格式导出\n- **分类导出**: 可选择导出视频数据、用户数据或全部数据\n- **时间戳**: 自动添加时间戳，避免文件覆盖\n\n## 安装和配置\n\n### 方式一：从 PyPI 安装（推荐）\n\n1. **直接安装**:\n   ```bash\n   pip install undoom-douyin-data-analysis\n   ```\n\n2. **配置 MCP 客户端**:\n   在你的 MCP 客户端配置文件中添加以下配置：\n   ```json\n   {\n     \"mcpServers\": {\n       \"undoom-douyin-data-analysis\": {\n         \"command\": \"uvx\",\n         \"args\": [\n           \"--index-url\",\n           \"https://pypi.tuna.tsinghua.edu.cn/simple\",\n           \"--from\",\n           \"undoom-douyin-data-analysis\",\n           \"undoom-douyin-mcp\"\n         ]\n       }\n     }\n   }\n   ```\n\n### 方式二：本地开发安装\n\n1. **克隆仓库**:\n   ```bash\n   git clone <repository-url>\n   cd undoom_Douyin_data_analysis\n   ```\n\n2. **安装依赖**:\n   ```bash\n   uv sync\n   ```\n\n3. **本地运行**:\n   ```bash\n   uv run undoom-douyin-mcp\n   ```\n\n### 环境要求\n- Python 3.13+\n- Chrome/Chromium 浏览器\n- 网络连接（访问抖音）\n\n## 可用工具\n\n### 1. search_douyin_videos\n搜索抖音视频数据\n\n**参数**:\n- `keyword` (必需): 搜索关键词\n- `scroll_count` (可选): 滚动次数，默认为10\n- `delay` (可选): 每次滚动的延迟时间（秒），默认为2.0\n\n### 2. search_douyin_users\n搜索抖音用户数据\n\n### 3. analyze_interaction_data\n分析视频互动数据（点赞、评论等）\n\n### 4. analyze_content_length\n分析视频标题长度分布\n\n### 5. analyze_keywords\n分析视频标题中的高频词汇\n\n### 6. export_data\n导出采集的数据\n\n### 7. get_data_summary\n获取当前采集数据的摘要信息\n\n### 8. clear_data\n清空当前采集的数据\n\n## 可用资源\n\n### 1. douyin://data/videos\n当前采集的视频数据（JSON 格式）\n\n### 2. douyin://data/users\n当前采集的用户数据（JSON…","publisher":null,"homepage":"https://github.com/kk520879/undoom-douyin-data-analysis","repository":"https://github.com/kk520879/undoom-douyin-data-analysis","version":"0.1.3","license":null,"protocols":["mcp"],"tags":["data-analysis","douyin","mcp","tiktok","web-scraping"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_undoom-douyin-data-analysis","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":"data.web-scraping","name":"Web Scraping","confidence":1,"provenance":"declared"},{"slug":"content.social","name":"Social Media","confidence":1,"provenance":"declared"},{"slug":"dev.version-control","name":"Version Control","confidence":0.791,"provenance":"derived"},{"slug":"documents.spreadsheets","name":"Spreadsheets","confidence":0.733,"provenance":"derived"}],"categories":["content","data","dev","documents"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; 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