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Research tools and kits for Claude AI

  • Why this server?

    Offers a suite of MCP servers for knowledge management, reasoning, search, news, and workspace tools, extending Claude's capabilities as a research assistant.

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    A comprehensive suite of Model Context Protocol servers designed to extend AI agent Claude's capabilities with integrations for knowledge management, reasoning, advanced search, news access, and workspace tools.
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    5
    TypeScript
    • Apple
  • Why this server?

    Allows websites to share tools, resources, and prompts with client-side LLMs (like Claude) without API keys, useful for web-based research and interaction.

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    A framework that enables websites to share tools, resources, and prompts with client-side LLMs without requiring API keys, allowing users to interact with web services using their preferred models.
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    288
    35
    JavaScript
    MIT License
    • Linux
    • Apple
  • Why this server?

    Enables Claude to perform Google searches and analyze webpage content programmatically, providing up-to-date information for research.

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    An MCP (Model Context Protocol) server that provides Google search capabilities and webpage content analysis tools. This server enables AI models to perform Google searches and analyze webpage content programmatically.
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    41
    TypeScript
  • Why this server?

    Performs multi-topic searches in business, news, finance, and politics using the Tavily API, providing high-quality sources and intelligent summaries for research purposes.

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    This MCP server performs multi-topic searches in business, news, finance, and politics using the Tavily API, providing high-quality sources and intelligent summaries.
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    1
    1
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    Enables semantic search and RAG over Apple Notes, allowing Claude to search and reference your notes during conversations and research.

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    A Model Context Protocol server that enables semantic search and RAG over your Apple Notes, allowing AI assistants like Claude to search and reference your notes during conversations.
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    6
    TypeScript
    • Apple
  • Why this server?

    Provides structured note-taking and organization for academic literature, designed for seamless interaction with Claude, useful for organizing research materials.

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    Server for managing academic literature with structured note-taking and organization, designed for seamless interaction with Claude. Built with SQLite for simplicity and portability.
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    10
    Python
    MIT License
  • Why this server?

    Fetches and extracts package documentation from multiple programming language ecosystems for LLMs like Claude, helpful for code-related research.

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    Fetches and extracts comprehensive package documentation from multiple programming language ecosystems (JavaScript, Python, Java, etc.) for LLMs like Claude without requiring API keys.
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    10
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    Allows AI to interact with your Zotero library, facilitating research and organization of academic sources through Claude.

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    Allows AI to interact with your Zotero library.
    Last updated -
    5
    72
    34
    TypeScript
    MIT License
  • Why this server?

    Enables AI models to search and access full paper content from arXiv's extensive research repository, enhancing their ability to engage with scientific literature.

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    The ArXiv MCP Server bridges the gap between AI models and academic research by providing a sophisticated interface to arXiv's extensive research repository. This server enables AI assistants to perform precise paper searches and access full paper content, enhancing their ability to engage with scientific literature.
    Last updated -
    4
    969
    Python
    Apache 2.0
    • Linux
    • Apple
  • Why this server?

    Extracts webpage content, removes ads and non-essential elements, and transforms it into clean, LLM-optimized Markdown for focused research and analysis with Claude.

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    A Python implementation of an MCP server that extracts webpage content, removes ads and non-essential elements, and transforms it into clean, LLM-optimized Markdown.
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    1
    Python
    MIT License
    • Linux
    • Apple