Social Data Mcp

io.github.mrocker由 GitHub 帳號 mrocker 發布v1.2.0更新於 Oct 25, 2026

X, YouTube, TikTok and LinkedIn data plus video transcripts in one stdio MCP server. Pay per result.

概覽

AI 產生的概覽

一個本機 MCP 伺服器,透過 Apify 取得 X、YouTube、TikTok 與 LinkedIn 的帳號、貼文和影片資料及平台字幕,依結果計費。

可以做什麼
取得 X 帳號、推文與單一推文查詢,支援互動量篩選與增量執行。取得 YouTube 影片中繼資料與頻道資料,可依觀看數、長度或日期篩選。取得 TikTok 帳號資料與單支影片統計。擷取 YouTube 與 TikTok 字幕文字及含時間戳的分段,可選擇與統計資料一併回傳。無需登入即可查詢 LinkedIn 公司與公開個人檔案。
適用情境
適合助理需要公開的社群媒體與影片資料進行研究、內容分析或競品追蹤,且你願意依回傳結果付費、不想自行管理各平台 API 金鑰的情況。
執行需求
需要本機 Node.js 執行環境以透過 npx 執行此 npm 套件,以及 Apify 帳號與 APIFY_TOKEN 環境變數;免費的 Apify 帳號即可。需要能連線至 Apify 的網路。取得完整 X 時間軸還需提供你自己 X 工作階段的 cookies。
安裝前請注意
每個回傳結果都會依標示的單價計入你的 Apify 帳戶,大量執行會產生實際費用。APIFY_TOKEN 是付費帳戶憑證,應妥善保密。取得完整 X 時間軸需要你自己工作階段的 cookies,屬於敏感登入憑證。資料透過 Apify 代管的 Actor 取得,查詢與輸入會傳送給該第三方。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Social Data Mcp,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

social-data-mcp

Pay-per-result data tools — X/Twitter profiles & tweets, YouTube videos & channels, TikTok profiles & video stats, YouTube / TikTok transcripts, and LinkedIn companies & public profiles — exposed to AI agents as MCP servers and as Agent Skills. They run on Apify. No platform API key is needed and nothing logs in on its own; the one exception is full X timelines, which need cookies from a session of your own (X shows logged-out visitors only an account's latest few posts). You are charged only for results that actually came back, at the same price on every Apify plan (free included).

ToolApify ActorPrice
X (Twitter) profiles, tweets, single-tweet lookup, engagement filters, incremental runs (full timelines with your own cookies)nick.cheng/x-twitter-profile-tweets-scraper$0.005/account · $0.0003/tweet · $0.005/tweet lookup
YouTube video metadata & channel data, filters by views/duration/datenick.cheng/youtube-video-channel-scraper$0.015/video · $0.005/channel
TikTok profiles & per-video statsnick.cheng/tiktok-profile-stats-scraper$0.02/profile · $0.003/video
YouTube transcripts — spoken-language captions as text + timed segments, from links or channelsnick.cheng/youtube-transcript-scraper$0.005/transcript; no captions, no charge
TikTok transcripts — TikTok's captions as text + timed segmentsnick.cheng/tiktok-transcript-scraper$0.003/transcript; no captions, no charge
LinkedIn companies (industry, size, HQ, website, followers, employees, latest job openings) and public profiles (name, headline, titles, companies, location, education) — no loginnick.cheng/linkedin-company-profile-scraper$0.004/company · $0.004/profile

The YouTube and TikTok tools can also return the transcript alongside the stats (includeSubtitles: true, no extra charge).

Narrower single-purpose variants of the same code, for when you want exactly one thing: x-profile-data · single-tweet-scraper · youtube-video-stats · tiktok-follower-count · tiktok-video-stats.

Use as an MCP server (hosted, no install)

Apify hosts an MCP endpoint for every Actor. Add one URL to any client that supports remote MCP servers (Claude, Cursor, VS Code, …) and authenticate with your Apify account when prompted:

https://mcp.apify.com/?tools=nick.cheng/x-twitter-profile-tweets-scraper,nick.cheng/youtube-video-channel-scraper,nick.cheng/tiktok-profile-stats-scraper,nick.cheng/youtube-transcript-scraper,nick.cheng/tiktok-transcript-scraper,nick.cheng/linkedin-company-profile-scraper

Or pick one: https://mcp.apify.com/?tools=nick.cheng/youtube-transcript-scraper.

The servers are also listed in the official MCP Registry as io.github.mrocker/x-twitter-profile-tweets, io.github.mrocker/youtube-video-channel, io.github.mrocker/tiktok-profile-stats, io.github.mrocker/youtube-transcripts, io.github.mrocker/tiktok-transcripts, io.github.mrocker/linkedin-company-profile (see servers/), and the first three on Smithery: nick-cheng/x-twitter-profile-tweets · nick-cheng/youtube-video-channel · nick-cheng/tiktok-profile-stats (the Smithery gateway forwards your Apify token as a token query parameter).

Use as a local stdio server

Published on npm as social-data-mcp and in the MCP Registry as io.github.mrocker/social-data-mcp:

json
{  "mcpServers": {    "social-data": {      "command": "npx",      "args": ["-y", "social-data-mcp"],      "env": { "APIFY_TOKEN": "<your token>" }    }  }}

This is a thin wrapper that starts Apify's own @apify/actors-mcp-server pre-scoped to the six Actors above. Get a token at https://console.apify.com/account/integrations (free account is enough).

Use as Agent Skills

bash
npx skills add mrocker/social-data-mcp

Installs six skills — x-twitter-profile-tweets, youtube-video-channel, tiktok-profile-stats, youtube-transcripts, tiktok-transcripts, linkedin-company-profile — each a short SKILL.md telling the agent when to call the tool, how (one curl), what comes back, and what the tool cannot do.

What these tools will not do

Keyword search on X, follower lists, reply threads, TikTok video lists per account, LinkedIn people/company search, employee lists and Sales Navigator (all login-only), and speech recognition of their own (transcripts are the platforms' own captions; a video without captions gets none). Full X timelines need cookies you supply; nothing here signs in on its own or uses anyone else's account. The READMEs on Apify say so up front.

Correction (October 2026): earlier versions of this page said YouTube transcripts were impossible and that nothing here needed a login. The first was true only of the YouTube web player's caption links, the only ones we had tested; the second stopped being true for X timelines when X rebuilt its web app.

License

MIT for the code in this repository. The Actors themselves are used under Apify's terms.

來源:README.md,提交 b53f326

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

3
  1. v1.2.0最新Oct 18, 2026
  2. v1.1.0Oct 17, 2026
  3. v1.0.0Sep 16, 2026

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