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    A line-oriented text file editor. Optimized for LLM tools with efficient partial file access to minimize token usage.
    6
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    MIT
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    Enables searching text across configured local workspaces using ripgrep. Provides secure text search capabilities within defined workspace boundaries through both MCP server and CLI interfaces.
    MIT
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    Enables reading and processing various document formats including Word, PDF, RTF, and text files. Supports extracting media elements like images and links, with features for PDF page range selection and automatic text encoding detection.
    8
    MIT
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    A Model Context Protocol (MCP) server that provides line-oriented text file editing capabilities through a standardized API. Optimized for LLM tools with efficient partial file access to minimize token usage.
    MIT
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    Enables sandboxed file operations via MCP tools, resources, and prompts, with a Claude CLI client and Groq-powered web UI for file CRUD, search, code review, and documentation generation.
    MIT
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    A secure file server for AI assistants that provides comprehensive file operations and text manipulation with configurable access levels and multiple connection modes.
    6
    MIT
  • F
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    MCP server for extracting text from PDF files, supporting local files and URLs.
  • F
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    A local MCP server that extracts text-layer content from PDF files, enabling AI agents to inspect, extract text, outlines, and page content.
  • F
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    Enables writing text content to Markdown files with folder organization and overwrite control, and listing recent Markdown files.
  • F
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    Enables LLM agents to securely explore, read, search, and analyze text-based files within a sandboxed environment.
  • F
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    This MCP server provides read-only access to a single allowed local directory through a secure HTTP gateway, enabling remote MCP clients to read files without syncing them to cloud storage.
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    Enables vision LLMs to read PDFs by automatically detecting text corruption and switching between text extraction and image rendering modes, while preserving reading order and filtering unnecessary images to prevent token overflow.
    3
    MIT