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Technical documents for SpaceTimeDB

  • Why this server?

    This server serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices. It's a good fit for sorting out technical documents.

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    security
    A
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    Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.
    Last updated -
    4
    87
    52
    TypeScript
    MIT License
  • Why this server?

    This server provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context. This seems fitting for sorting technical documents.

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    An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
    Last updated -
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    62
    81
    TypeScript
    MIT License
  • Why this server?

    Similar to mcp-ragdocs, this server focuses on documentation retrieval and processing through vector search, making it useful for sorting through technical documents.

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    Provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
    Last updated -
    62
    TypeScript
    MIT License
    • Apple
  • Why this server?

    Another RAG (Retrieval-Augmented Generation) server focused on documentation. Useful when trying to organize documentation.

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    Enables AI assistants to enhance their responses with relevant documentation through a semantic vector search, offering tools for managing and processing documentation efficiently.
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    62
    13
    TypeScript
  • Why this server?

    This server uses a vector database (Qdrant) for semantic search and retrieval of documentation, which could be helpful for understanding and sorting technical documents.

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    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.
    Last updated -
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    74
    JavaScript
    Apache 2.0
    • Apple
  • Why this server?

    Suggests the latest stable package versions when writing code. Could be helpful in this case.

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    Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.
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    60
    TypeScript
    MIT License
  • Why this server?

    This server extracts and transforms webpage content into clean, LLM-optimized Markdown, which can be useful for processing and summarizing technical documents online.

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    Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.
    Last updated -
    1
    4
    11
    MIT License
  • Why this server?

    An MCP server that provides AI assistants with access to Astro documentation, enabling them to search and reference Astro docs when helping users with Astro-related tasks.

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    An MCP server that provides AI assistants with access to Astro documentation, enabling them to search and reference Astro docs when helping users with Astro-related tasks.
    Last updated -
    JavaScript
    • Apple
  • Why this server?

    A FastMCP integration with Hyperskill that allows AI agents to explain programming topics and search for programming resources using Hyperskill's learning materials.

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    A FastMCP integration with Hyperskill that allows AI agents to explain programming topics and search for programming resources using Hyperskill's learning materials.
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    Python