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"Creating an app from files" matching MCP servers:

  • File AI

    flyfish-dev
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    license
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    quality
    C
    maintenance
    A read-only MCP server that provides document awareness for agents by parsing local files into structured profiles, blocks, chunks, and search results, enabling agents to understand and cite document content without dealing with raw file formats.
    Last updated
    5
    101
    2
    Apache 2.0

  • RAG In A Box MCP Server

    DevNexsler
    F
    license
    -
    quality
    B
    maintenance
    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
    Last updated
    4

  • mcp-retrieve

    maxbaluev
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    A
    quality
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    maintenance
    An MCP server for indexing and searching local text files using late-interaction retrieval (ColBERT-style MaxSim), enabling token-level relevance matching.
    Last updated
    2
    MIT

  • mcp-doc-search

    anujmv
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    license
    A
    quality
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    maintenance
    Enables searching and retrieving documents from a local folder to ground LLM answers in your files.
    Last updated
    2
    MIT

  • KnowFlow MCP

    esurovtsev
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    license
    A
    quality
    D
    maintenance
    A unified knowledge retrieval tool for MCP-compatible LLMs, enabling structured external knowledge access from local files and future integrations.
    Last updated
    1
    4
    MIT

  • Higress AI-Search MCP Server

    cr7258
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    license
    A
    quality
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    maintenance
    A Model Context Protocol server that enables AI models to perform real-time internet and knowledge searches through Higress, enhancing model responses with up-to-date information from Google, Bing, Arxiv, and internal knowledge bases.
    Last updated
    1
    5
    Apache 2.0

  • Markdown Downloader

    dazeb
    A
    license
    A
    quality
    F
    maintenance
    An MCP server that enables users to download webpages as markdown files using r.jina.ai service, with features for configurable download directories and automatic date-stamped filenames.
    Last updated
    5
    10
    53
    MIT

  • Video RAG MCP Server

    FiloHany
    F
    license
    A
    quality
    D
    maintenance
    Enables natural language search and interaction with video content through three tools: ingesting videos to a Ragie index, retrieving relevant video segments based on queries, and creating video chunks from specific timestamps.
    Last updated
    3
    1

  • MCP AI Hub

    feiskyer
    A
    license
    B
    quality
    D
    maintenance
    Provides unified access to 100+ AI models from OpenAI, Anthropic, Google, AWS Bedrock and other providers through a single MCP interface. Enables seamless switching between different AI models using LiteLM's unified API without requiring separate integrations for each provider.
    Last updated
    3
    9
    MIT

  • Knowledge Base MCP Server

    halans
    F
    license
    B
    quality
    D
    maintenance
    A local MCP server that allows AI systems to search and retrieve information from a custom knowledge base generated from markdown files. It provides tools for natural language text search, category browsing, and specific content chunk retrieval.
    Last updated
    3

  • GitHub MCP Server

    alsonwangkhem
    F
    license
    B
    quality
    D
    maintenance
    An MCP server that allows Claude and other MCP-compatible LLMs to interact with the GitHub API, supporting features like creating issues, getting repository information, listing issues, and searching repositories.
    Last updated
    4

  • AI Research MCP Server

    nanyang12138
    A
    license
    B
    quality
    D
    maintenance
    Enables real-time tracking of AI/LLM research progress by searching and aggregating content from arXiv, GitHub, Hugging Face, and Papers with Code. Supports intelligent search, automated daily/weekly research summaries, and covers 15+ AI research areas with smart caching.
    Last updated
    8
    MIT