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Ideas for a Viral Instagram Reel for a Skincare Review Page

  • Why this server?

    Could be used to research viral skincare videos on YouTube to find inspiration and understand successful content strategies.

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    A server that enables interaction with YouTube data through the Model Context Protocol, allowing users to search videos, retrieve detailed information about videos/channels, and fetch comments.
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    6
    JavaScript
  • Why this server?

    Can fetch content from skincare websites and blogs to gather information for review content and staying up-to-date with trends.

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    Provides functionality to fetch and transform web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls.
    137,083
    TypeScript
  • Why this server?

    Can analyze YouTube videos related to skincare, identify key moments, and extract content ideas for Reels.

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    MCP (Model Context Protocol) server that utilizes the Google Gemini Vision API to interact with YouTube videos. It allows users to get descriptions, summaries, answers to questions, and extract key moments from YouTube videos.
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    141
    JavaScript
    MIT License
    • Linux
    • Apple
  • Why this server?

    Can extract structured data from websites (e.g., product details, pricing) for comparison reviews.

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    security
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    quality
    A server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web
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    183
    28
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    While not directly related to Instagram, it can help find and analyze code related to data analysis or automation techniques that might be helpful in identifying trends or automating content creation research.

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    security
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    Enables interaction with GitHub repositories through the GitHub API, allowing file operations, repository management, issue tracking, and code search through natural language commands.
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    TypeScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    Can be used to search through documentation of tools that could be used for research or video editing (e.g. a video editing library documentation).

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    security
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    A flexible Model Context Protocol server that makes documentation or codebases searchable by AI assistants, allowing users to chat with code or docs by simply pointing to a git repository or folder.
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    33
    7
    JavaScript
    MIT License
  • Why this server?

    This is a security analysis tool, not directly related to content creation, but it could be useful to analyze links found during web scraping for potential security risks.

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    security
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    quality
    Provides comprehensive security analysis tools for querying the VirusTotal API, enabling detailed security reports on URLs, files, IP addresses, and domains with automatic relationship data fetching.
    2
    Python
    Apache 2.0
  • Why this server?

    Can transcribe and summarize long-form video content (e.g., interviews with dermatologists) which can then be transformed into shorter reel-friendly scripts.

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    security
    A
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    A service that extracts and transcribes audio content from videos across 1000+ streaming websites including YouTube, Bilibili, TikTok, and Twitter, supporting multiple transcription providers like Deepgram, Gladia, Speechmatics, and AssemblyAI.
    5
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Could be used to analyze Instagram engagement metrics, extract demographic insights from popular skincare posts, and identify potential target audiences.

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    Provides tools for analyzing Instagram engagement metrics, extracting demographic insights, and identifying potential leads from Instagram posts and accounts.
    3
    2
    JavaScript
    MIT License
  • Why this server?

    Enables automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control that can be used to analyze competitor content.

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    security
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    license
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    quality
    Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.
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    23
    Python
    • Linux
    • Apple