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    MCP server for lossless YAML 1.2 editing by AI agents. Two tools — noyalib_get (read a value at a dotted/indexed path) and noyalib_set (write a value, preserving comments/formatting byte-for-byte). Pure Rust, streaming-first serde, JSON Schema validation. MIT OR Apache-2.0.
    2
    1
    Apache 2.0
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    Windows-native full-disk search: file names, document contents, and text inside screenshots. Acrylic command palette on Alt+`. Rust · tantivy · Tauri. 本地全盘搜索:文件名、文档内容、截图文字。
    3
    32
    Apache 2.0
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    Rust-native MCP server for Office document processing (Excel, Word, PowerPoint) enabling sub-millisecond, local-first document manipulation and export to PDF.
    163
    GPL 3.0
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    Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.
    MIT
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    Enables natural-language queries about disk usage by driving WizTree scans and analyzing cached CSV snapshots. Users can find large files, duplicate data, folder breakdowns, and more without repeatedly rescanning the disk.
    14
    MIT
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    Enables AI agents to persist all generated deliverables as structured Markdown in a project's /.aiartefact directory, with automatic frontmatter, metadata indexing, and full-text search.
    AGPL 3.0
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    The fastest, most capable filesystem MCP server built in Rust, giving AI agents superpowers to read, search, edit, and manage files and directories.
    16
    Apache 2.0
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    A Rust + Tauri 2 desktop application that turns local project folders into persistent MCP workspaces, enabling AI agents to read files, modify code, run commands and tests, check Git status, and maintain cross-conversation development context through historical checkpoints, with built-in WSS/FRP/Cloudflare tunnels and OAuth for connecting to ChatGPT.
    Apache 2.0
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    Converts CAD drawings (DXF/DWG) into structured data, enabling Claude to read drawings and answer questions about their content.
    MIT
  • F
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    Ultra-fast, memory-efficient Rust implementation of the Filesystem MCP server with bounded IO, regex search, and optional terminal execution.
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    Enables users to ask natural-language questions about a local folder's contents, including file names, sizes, and timestamps, with rollups by type and age and cleanup suggestions for stale or large files. It returns metadata only and cannot read, move, or delete files.
    2
    24 PyPI
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    MIT
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    Rust-powered PDF toolkit over MCP: create, read, and analyze PDFs; extract text and entities for RAG; convert to Markdown; split/merge/rotate/reorder pages; manage form fields and annotations; encrypt documents. Runs locally via uvx oxidize-mcp.
    12
    881 PyPI
    6
    MIT
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    Reads and searches local email archives (.mbox or .eml) with full MIME parsing, enabling queries about senders, subjects, dates, and bodies while keeping all data on your machine.
    3
    6,226 npm
    MIT
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    An MCP server that reads and builds CapCut projects locally, enabling natural language queries about project contents, missing media, and creation of new edits including beat-synced cuts.
    6
    MIT