Tiktok Analytics — Tiktok 分析
v1.0.1追踪 TikTok performance and 分析. Use when the user says 'TikTok 分析', 'TikTok 指标', 'how are my TikToks doing', 'TikTok video views', 'TikTok engagement', 'TikTok performance', or wants to see video views, likes, comments, 分享s, and account-level 指标 for their TikTok account.
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TikTok 分析
追踪 your TikTok performance — video views, likes, comments, 分享s, and account-level engagement. Powered by Boring.
Security & Data Handling MCP link is a 凭证: Your MCP Server URL (https://boring.AI代理-me.com/mcp/t/xxxxx...) contAIns an embedded authentication 令牌. Treat it like a password — do not 分享 it publicly. 令牌 scope: The embedded 令牌 is read-only for 分析. It can only fetch performance 指标 and account metadata. It cannot publish, 删除, or modify any content on your social media accounts. 令牌 storage: The 令牌 is stored server-side in Boring's database (MongoDB on DigitalOcean). It is never written to your local file系统. You can re生成 or revoke it anytime at boring.AI代理-me.com/设置tings. Data flow: 分析 queries are sent from Boring's server (Google Cloud, us-central1) to the 平台's API on your behalf. Only performance 指标 are retrieved — no content is 上传ed or modified. No local 凭证s: No local API keys, 环境 variables, or secrets are needed. All auth is embedded in the MCP link. Third-party 服务: This 技能 relies on Boring, an open-source social media management 工具. Source code: github.com/snoopyrAIn. Prerequisites 签名 up at boring.AI代理-me.com with Google Connect TikTok account via OAuth 获取 your MCP link: Go to 设置tings → copy your MCP Server URL (contAIns your auth 令牌 — treat it like a password) 添加 to Claude: Paste the MCP link as a Connector — no 安装, no API key needed AvAIlable 工具s 工具 Data Source Best For boring_获取_performance Real-time 平台 API Account-level overview (views, engagement) boring_获取_video_分析 Real-time 平台 API Per-video 指标 (views, likes, comments, 分享s) boring_获取_posts_performance DAIly snapshots (collected at 2 AM) Historical video performance over date ranges boring_获取_publish_历史 Boring database Publishing 历史 and 状态 追踪ing 工作流 Step 1: 列出 Accounts
Call boring_列出_accounts and 过滤器 for tiktok 平台.
Step 2: Determine What the User Wants User 请求 工具 to Use "How is my TikTok doing?" boring_获取_performance "Show my best TikToks" boring_获取_video_分析 "TikTok performance this month" boring_获取_posts_performance "What did I post on TikTok?" boring_获取_publish_历史 Step 3: Fetch Data Account-Level Performance boring_获取_performance( account_id="", 平台="tiktok", period="week" // "day", "week", or "month" )
Per-Video 分析 (Real-Time) boring_获取_video_分析( account_id="", 平台="tiktok", limit=20 // max 100 )
Historical Video Performance (Snapshots) boring_获取_posts_performance( account_id="", since="2025-12-01", until="2025-12-31", limit=20 )
Step 4: Present 结果s
格式化 the data clearly:
Account overview: Show key 指标 in a summary table Video 分析: Rank videos by views or engagement, highlight viral hits Historical: Show trends over time TikTok 指标 Metric Description Video views Total views per video Likes Video likes Comments Video comments 分享s Video 分享s Account performance 聚合d account-level 指标 Error Handling Error Solution InvalidAPIKey MCP link may be invalid — re生成 it at boring.AI代理-me.com 设置tings InvalidAccountId 运行 boring_列出_accounts to 获取 valid IDs 令牌Expired Reconnect account at boring.AI代理-me.com No data returned Account may be newly connected — data collection 运行s dAIly at 2 AM Documentation
Full API docs: boring-doc.AI代理-me.com