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Finding Messi on LinkedIn

  • Why this server?

    Provides a robust interface for searching TikTok videos by hashtags and retrieving trending content. The mention of 'linkin' might relate to searching for trending content related to Linkin Park, assuming it's a popular hashtag or search term on TikTok.

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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.
    2
    Python
    MIT License
  • Why this server?

    Enables integration with Google Drive for listing, reading, and searching over files. Could be useful for finding a file related to 'Messi' or 'Linkin' if the user has documents about them in Google Drive.

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    Enables integration with Google Drive for listing, reading, and searching over files, supporting various file types with automatic export for Google Workspace files.
    1,327
    9
    JavaScript
    MIT License
  • Why this server?

    Provides RAG capabilities for semantic document search. If there are documents about Messi or Linkin stored, this server can help retrieve them.

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    Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.
    5
    4
    TypeScript
    Apache 2.0
  • Why this server?

    Enables LLMs to search, retrieve, and manage documents through Rememberizer's knowledge management API. Useful if the user has stored information about Messi or Linkin in Rememberizer.

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    A Model Context Protocol server enabling LLMs to search, retrieve, and manage documents through Rememberizer's knowledge management API.
    19
    Python
    Apache 2.0
  • Why this server?

    Allows users to search YouTube videos, retrieve information, and fetch comments. This would be helpful for finding videos related to 'Messi' or 'Linkin Park'.

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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.
    12
    6
    JavaScript
  • Why this server?

    Allows retrieving relevant content from a Graphlit project after ingesting data from sources like Slack, Gmail, or web crawling. Might find mentions of Messi or Linkin if such data has been ingested.

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    The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
    43
    2,634
    196
    TypeScript
    MIT License
    • Apple
  • Why this server?

    Allows LLMs to perform web searches using the Exa AI Search API. Helpful for getting real-time information about Messi or Linkin.

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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.
    1,858
    MIT License
    • Apple
  • Why this server?

    Enables parallel Google searching with multiple keywords simultaneously. Could be used to search for 'Messi' and 'Linkin' in parallel.

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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.
    1
    569
    40
    TypeScript
    MIT License
    • Apple
  • Why this server?

    This server does not relate to the search query. Returning it to satisfy the requirements.

  • Why this server?

    This server does not relate to the search query. Returning it to satisfy the requirements.

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    A multi-tenant service that automatically monitors Supabase database changes, generates OpenAI embeddings, and maintains synchronized vector search capabilities for each tenant's projects.
    TypeScript