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Understanding the Purpose of Research

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  • Why this server?

    Provides unified access to multiple search engines and AI tools, which is helpful for broad research purposes.

    mcp-omnisearch

    spences10
    Verified
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    security
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    license
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    quality
    🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Combines search, AI responses, content processing, and enhancement features through a single interface.
    15
    54
    27
    TypeScript
    MIT License
    • Linux

  • Why this server?

    Offers access to many public datasets, useful for data-driven research.

  • Why this server?

    Offers specialized endpoints for prospecting and lead generation, beneficial for market research.

    Explorium AgentSource MCP Server

    explorium-ai
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    Explorium AgentSource MCP Server empowers every agent to become an AI-driven, Go-To-Market specialized agent! With over 20 specialized endpoints designed for prospecting, sales, and lead generation, agents can effortlessly generate and enrich accounts and prospects, access deep business insights, an
    23
    4
    Python
    MIT License
    • Apple

  • Why this server?

    Enables searching for Magic: The Gathering card details, rules, and pricing information, which can be research-oriented for game enthusiasts.

    Scryfall MCP Server

    cryppadotta
    -
    security
    F
    license
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    quality
    Enables interaction with the Scryfall API, allowing users to search for Magic: The Gathering card details, retrieve card rulings, and access pricing information using the Model Context Protocol.
    7
    5
    1
    JavaScript

  • Why this server?

    Provides RAG capabilities for semantic document search, allowing users to add, search, and manage documentation.

    RagDocs MCP Server

    heltonteixeira
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    security
    A
    license
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    quality
    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?

    An MCP server that provides tools for reading, writing, and editing files on the local filesystem, useful for data and text handling in research.

    Deskaid

    ezyang
    A
    security
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    license
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    An MCP server that provides tools for reading, writing, and editing files on the local filesystem.
    1
    1,090
    Python
    Apache 2.0
    • Apple

  • Why this server?

    MCP server that supports semantic search and retrieval of documentation, ideal for quickly accessing necessary information.

    MCP-Ragdocs

    qpd-v
    -
    security
    A
    license
    -
    quality
    A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.
    14
    74
    JavaScript
    Apache 2.0
    • Apple

  • Why this server?

    Provides access to Mathematica documentation, which is useful for research involving mathematical functions and programming.

    Mathematica Documentation MCP server

    benhaotang
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    security
    A
    license
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    quality
    A server that provides access to Mathematica documentation through FastMCP, enabling users to retrieve function documentation and list package symbols from Wolfram Mathematica.
    2
    Python
    MIT License
    • Linux
    • Apple

  • Why this server?

    Serves as a web browser for LLMs and RAG pipelines, useful for web research and information gathering.

    mcp-server-rag-web-browserofficial

    apify
    A
    security
    A
    license
    A
    quality
    Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.
    1
    330
    77
    JavaScript
    Apache 2.0
    • Apple