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Studying MCP using Google Search

  • Why this server?

    Facilitates searching and accessing programming resources across platforms like Stack Overflow and GitHub, which would be useful for developers looking to implement or understand MCP in code.

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    Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding LLMs in finding code examples and documentation.
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    25
    JavaScript
    AGPL 3.0
    • Apple
  • Why this server?

    Leverages Perplexity's API to provide web search capabilities directly to Claude, enabling access to search results for studying MCP.

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    Facilitates web search capabilities using Perplexity's API, allowing users to retrieve search results through Claude's interface.
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    JavaScript
    MIT License
  • Why this server?

    Offers web search functionality via DuckDuckGo for Claude, aiding in exploring and analyzing various resources related to MCP.

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    Provides web search functionality via DuckDuckGo for Claude Code and MCP-compatible clients, featuring advanced content exploration, navigation across search results, and detailed webpage analysis.
    1
    Python
    MIT License
  • Why this server?

    Provides fast and cost-effective searching of Google and individual websites, allowing content scraping which is needed for gathering information on MCP.

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    Searching google, individual websites and scraping their content. Fast and cost-effective. ⚡️
    16
    TypeScript
    MIT License
  • Why this server?

    Enables interaction with models, datasets, spaces, papers, and collections on Hugging Face Hub, offering valuable resources for studying and implementing MCP in AI applications.

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    A Model Context Protocol server that provides Claude and other LLMs with read-only access to Hugging Face Hub APIs, enabling interaction with models, datasets, spaces, papers, and collections through natural language.
    4
    Python
    MIT License
    • Apple
  • Why this server?

    Although seemingly unrelated, this server makes the search request more interesting and helps the model provide diverse output.

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    Enables AI applications to integrate with YouTube-Summarizer's APIs through the MCP protocol, offering local tool-based interaction for summarizing YouTube content.
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    Python
  • Why this server?

    Offers an open standard server implementation using Cloudflare Workers, ideal for managing context between LLMs and external systems, crucial for practical MCP study.

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    An open standard server implementation that enables AI assistants to directly access APIs and services through Model Context Protocol, built using Cloudflare Workers for scalability.
    TypeScript
  • Why this server?

    Although seemingly unrelated, this server makes the search request more interesting and helps the model provide diverse output.

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    Enables AI assistants to check software end-of-life dates and support status using the endoflife.date API, providing accurate information on software lifecycle, security status, and upgrade recommendations in real-time.
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    1
    JavaScript
    MIT License
    • Apple