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    A local MCP server that securely uploads explicitly selected local images to RecallFox, keeping image bytes and OAuth tokens out of model context.
    MIT
  • A
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    Provides tools for AI clients to scan, match, and scrape TMDB metadata for local media files, with safe sidecar writing or full Jellyfin-style reorganization including file renaming and NFO generation.
    MIT
  • A
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    quality
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    50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.
    50
    597
    5
    MIT
  • A
    license
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    quality
    C
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    An MCP server that exposes macOS Spotlight search as tools, wrapping mdfind and mdls to provide full-text and metadata file search across the system.
    2
    MIT
  • A
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    Provides fully local, privacy-preserving semantic search over file names and paths via MCP, using BGE embeddings for fuzzy matching and supporting incremental updates, watch mode, and a loopback-only HTTP server.
    MIT
  • A
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    B
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    A collection of small MCP servers for macOS automation that expose Apple Mail, MoneyMoney, and Spotlight functionality as tools via AppleScript and command-line, enabling AI applications to search mail, manage contacts and transactions, and perform system-wide file searches through natural language.
    MIT
  • A
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    quality
    D
    maintenance
    Enables AI assistants to search local files on Windows using the Everything search engine, supporting basic and complex file searches with filters like date, size, media type, and document type.
    4
    MIT
  • F
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    A local-first MCP server that enables semantic search over PDF and DOCX documents using structure-aware parsing and vector storage. It allows users to query their local knowledge base through Claude Code without cloud dependencies or GPU requirements.
  • A
    license
    A
    quality
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    maintenance
    MCP server for full-text search across PDF document collections with offline indexing, ranked results, snippets, and page rendering.
    4
    MIT
  • A
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    A
    quality
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    maintenance
    Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.
    4
    13
    2
    MIT
  • A
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    MCP server that encapsulates Apple Mail on macOS via AppleScript, enabling invoice PDF search, attachment saving, and message flagging through natural language.
    5
    MIT
  • F
    license
    A
    quality
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    maintenance
    A Model Context Protocol server that enables keyword search within files, returning matching lines with line numbers.
    1
    1
  • F
    license
    A
    quality
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    Integrates Everything Search with Claude Code for lightning-fast file searching across entire drives, up to 400x faster than traditional methods.
    5
  • A
    license
    B
    quality
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    maintenance
    Enables fast file search on macOS using the native mdfind (Spotlight) command, with support for filtering, regex, sorting, and limiting results.
    1
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    Integrates Everything file search with Claude Desktop, enabling instant Windows filesystem search via natural language queries.
    16
    6
    MIT
  • F
    license
    B
    quality
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    maintenance
    Provides integration with Everything Search Engine allowing powerful file search capabilities through the Model Context Protocol with advanced search options like regex, case sensitivity, and sorting.
    1
    10
  • A
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    maintenance
    A sophisticated MCP server providing powerful file search capabilities including single file search, recursive directory search, and file information retrieval.
    MIT
  • A
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    quality
    C
    maintenance
    A high-performance Model Context Protocol (MCP) server built for Windows. Leveraging the native Everything SDK, it provides AI models (like Claude, GPT, Gemini) with millisecond-speed file searching, statistical analysis, and disk usage insights.
    MIT