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    Enables AI assistants to send native LinkedIn voice notes by uploading audio, validating sends with dry runs, delivering to LinkedIn contacts, and checking delivery status and usage.
    4
    16 npm
    MIT
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    A read-only MCP server for safely exploring Nostr, enabling agents to resolve identifiers, fetch profiles and events, query notes, and inspect relay metadata. It does not accept private keys or publish events.
    5
    3 npm
    MIT
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    Enables AI clients to search Xiaohongshu notes by brand and category, batch extract comments, and perform keyword/sentiment/heat analysis, with results exported as Excel and JSON reports.
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    MIT
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    Enables AI assistants to interact with Xiaohongshu (Little Red Book) through browser automation, including searching notes, fetching recommendations and details, publishing image-text posts, and liking/favoriting content.
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    134 npm
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    ISC
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    SocialDataX(社媒数据助手)is a read-only MCP for 小红书 / Xiaohongshu / XHS / RedNote. Hosted version 0.1.15 provides 35 tools for note and user search, details, comments, creator data, products, and video transcripts. Search video notes with xhs_search_notes(note_type="video").
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    37 npm
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    MIT
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    An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.
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    Apache 2.0
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    Enables searching notes, retrieving note content and comments, and posting comments on Xiaohongshu (Little Red Book) via HTTP API without using Playwright.
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    MCP server for Takes, a free, open-source Mac teleprompter and recorder for talking-head videos. It lets an AI assistant write scripts and storyboards, manage takes, make edits and draft the posts for LinkedIn, X, YouTube and Shorts.
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    MIT
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    MCP server wrapping social-auto-upload CLI for AI clients to verify cookies and publish videos/notes to Chinese social platforms (Douyin, Kuaishou, Xiaohongshu, Bilibili).
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    A lightweight toolkit that enables Claude to search Twitter with natural language queries and display results based on user intent, supporting features like tweet filtering, pagination, and flexible output formatting.
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