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A tool for tracking mentions on social media

  • Why this server?

    This server enables AI models to extract and analyze marketing insights and audience data, including demographics, behavior, and influencer engagement, which is relevant to social media monitoring.

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    Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
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    32
    8
    TypeScript
    Apache 2.0
    • Apple
  • Why this server?

    Though primarily for network devices, the UniFi API it wraps can provide some indirect insights into user behavior which might correlate with social media activity.

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    A server implementation that enables natural language interactions with UniFi network devices by wrapping the UniFi Network API for AI agents like Goose and Claude.
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    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    Specifically designed for searching TikTok videos by hashtags and retrieving trending content, useful for understanding social media trends.

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    Provides a robust interface for searching TikTok videos by hashtags and retrieving trending content, with anti-detection measures and comprehensive metadata extraction.
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    2
    Python
    MIT License
  • Why this server?

    Provides real-time trending content from 18 major Chinese internet platforms, offering insights into social media trends in China.

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    A Model Context Protocol server that provides AI models with real-time trending content from 18 major Chinese internet platforms, including Weibo, Zhihu, and Bilibili.
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    TypeScript
  • Why this server?

    Enables parallel Google searching with multiple keywords simultaneously, which can help discover mentions and related content across the web.

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    A powerful MCP server that enables parallel Google searching with multiple keywords simultaneously, providing structured results while handling CAPTCHAs and simulating user browsing patterns.
    Last updated -
    1
    569
    40
    TypeScript
    MIT License
    • Apple
  • Why this server?

    Allows analysis of hashtags, users, and conversations on Twitter/X with engagement metrics and sentiment analysis, providing in-depth insights into social media mentions.

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    Allows Claude and other MCP-compatible AI models to access TweetBinder by Audiense analytics data, enabling analysis of hashtags, users, and conversations on Twitter/X with engagement metrics, sentiment analysis, and report generation.
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    1
    TypeScript
    Apache 2.0
    • Apple
  • Why this server?

    Provides a safe way to conduct web searches and retrieve information, useful for discovering mentions and related discussions across the internet.

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    A server that enables AI assistants like Claude to perform web searches using the Exa AI Search API, providing real-time web information in a safe and controlled way.
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    1,997
    MIT License
    • Apple
  • Why this server?

    While primarily for network automation, it could provide indirect information useful in correlating network activity with social media trends.

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    An integration that enables AI assistants to interact with network data through a standardized protocol, providing AI-ready tools and interfaces for network automation and management.
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    2
    Python
  • Why this server?

    Provides GitHub data analysis for repositories, developers, and organizations, enabling insights into open source ecosystems and associated mentions.

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    Provides GitHub data analysis for repositories, developers, and organizations, enabling insights into open source ecosystems through API calls and natural language queries.
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    5
    2
    JavaScript
  • Why this server?

    Allows Claude to create, manage and publish X/Twitter posts directly, making it useful for social media engagement and monitoring mentions.

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    An MCP server that allows Claude to create, manage and publish X/Twitter posts directly through the chat interface.
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    5
    35
    Python
    MIT License
    • Apple