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Resources for In-Depth Research

  • Why this server?

    Provides read-only access to Hugging Face Hub APIs, which is useful for researching models, datasets, spaces, and collections—valuable resources for deep research in AI.

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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?

    Offers RAG capabilities for semantic document search using Qdrant, enabling users to add, search, and manage documentation with metadata support, facilitating deeper research on specific topics.

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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.
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    4
    TypeScript
    Apache 2.0
  • Why this server?

    Facilitates access to coding resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding in finding code examples and documentation—useful for in-depth research on coding-related subjects.

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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.
    6
    25
    JavaScript
    AGPL 3.0
    • Apple
  • Why this server?

    Built as a Model Context Protocol (MCP) server that provides advanced web search, content extraction, web crawling, and scraping capabilities using the Firecrawl API, enabling thorough research.

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    Built as a Model Context Protocol (MCP) server that provides advanced web search, content extraction, web crawling, and scraping capabilities using the Firecrawl API.
    4
    1
    Python
    • Apple
    • Linux
  • Why this server?

    Enables real-time search and retrieval of academic paper information from multiple sources, making it suitable for research-oriented tasks.

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    Enables real-time search and retrieval of academic paper information from multiple sources, providing access to paper metadata, abstracts, and full-text content when available, with structured data responses for integration with AI models that support tool/function calling.
    3
    11
    Python
    AGPL 3.0
  • Why this server?

    Provides web search functionality for Claude Code and MCP-compatible clients, offering advanced content exploration and detailed webpage analysis.

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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?

    Enables semantic search, image search, and cross-modal search functionalities through integration with Jina AI's neural search capabilities, useful for finding relevant information across multiple data types.

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    Enables semantic search, image search, and cross-modal search functionalities through integration with Jina AI's neural search capabilities.
    1
    JavaScript
    MIT License