File Management MCP Servers

Secure file operations with configurable access controls

AI-native directory visualization with semantic analysis, ultra-compressed formats for AI consumption, and 10x token reduction. Supports quantum-semantic mode with intelligent file categorization.

The Box MCP server allows third party AI agents to securely and seamlessly access Box content and use tools such as search, asking questions from files and folders, and data extraction.

Reduce context usage on file use. Send only unified diffs instead of full files (up to 20-100× fewer tokens), and read large files with targeted `grep`/`sed` instead of full reads (up to 500×). Kernel-enforced path confinement hard-locks the agent to a configured root: no accidental reads or writes outside scope. Standalone for your file access or embed in any MCP server (Rust, Node.js, Python via WASM).

Share code context with LLMs via MCP or clipboard

File merger tool, suitable for AI chat length limits.

Box integration for listing, reading and searching files

Model Context Protocol (MCP) Server for reading from Google Drive and editing Google Sheets.

Read-only MCP server for secure filesystem exploration, searching, and analysis with symlink protection.

Control your macOS Homebrew setup using natural language via this MCP server. Simply manage your packages, or ask for suggestions, troubleshoot brew issues etc.

Fast Windows file search using Everything SDK

Convert Markdown files to professional PDFs with customizable themes, headers, footers, and styling

Golang implementation for local file system access.

Model Context Protocol server for file system operations. Supports read, write, search, copy, move with security path restrictions.

Remote Storage Access: SFTP, S3, FTP, SMB, NFS, WebDAV, GIT, FTPS, gcloud, azure blob, sharepoint, etc.

MCP tool access to MarkItDown -- a library that converts many file formats (local or remote) to Markdown for LLM consumption.

Share markdown files and text as clean, readable web links via `plsreadme_share_file` and `plsreadme_share_text`; zero setup (`npx -y plsreadme-mcp` or `https://plsreadme.com/mcp`).

Surgical editing of existing Word .docx files with formatting preservation, tracked changes, comments, footnotes, and document comparison.

Production-ready MCP server for intelligent handling of large files with smart chunking, navigation, streaming capabilities, regex search, and built-in LRU caching.

Access any storage with Apache OpenDAL™

MCP server for accessing VS Code/Cursor Local History