#files

Secure file operations with configurable access controls

MCP Server for GNU Make

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MCP Filesystem Solution

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Simple and secure file system mcp server

A Model Context Protocol (MCP) server that provides filesystem operations for Claude AI

This is a File system mcp server that could allow an LLM to read and list files from a specified safe directory on your local machine.

A Model Context Protocol (MCP) server for reading Excel files with automatic chunking and pagination support. Built with SheetJS and TypeScript.

MCP File System Server: A secure Model Context Protocol server that provides file operations for AI assistants. Enables Claude and other assistants to safely read, write, and list files in a designated project directory with robust path validation and security controls.

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An MCP server that provides filesystem access to Claude desktop

Analyse PowerBI models and reports (.pbix) using AI through this MCP-server implementation of PBIXRay.

Connects MCP to major 3D printer APIs (Orca, Bambu, OctoPrint, Klipper, Duet, Repetier, Prusa, Creality). Control prints, monitor status, and perform advanced STL operations like scaling, rotation, sectional editing, and base extension. Includes slicing and visualization.

A secure Model Context Protocol (MCP) server providing filesystem access within predefined directories

Node.js Model Context Protocol (MCP) server providing secure, relative filesystem access for AI agents like Cline/Claude.

Node.js Model Context Protocol (MCP) server providing secure, relative filesystem access for AI agents like Cline/Claude.

A Model Context Protocol (MCP) server for platform-agnostic file capabilities, including advanced search/replace and directory tree traversal

Custom fork of filesystem MCP server with modified tool descriptions

MCP server to list, read and write .txt files given a local route

A Model Context Protocol (MCP) server for Eagle. Manages local media files (e.g., images, mp3, mp4)

Centralized management of AI tool configurations (rules, commands, MCP servers) with streamlined setup for global and project-specific environments.

Blazing-fast, asynchronous MCP server for seamless filesystem operations.

An MCP server config to manage the file system of any directory in my PC

Professional MCP server for OpenAlex academic research - ML-powered author disambiguation, institution resolution, and comprehensive researcher profiles with ORCID integration Transform your AI assistant into a powerful academic research tool! This MCP server provides seamless access to OpenAlex's comprehensive database of 200+ million scholarly works and researchers. Features include intelligent author disambiguation using machine learning, automatic institution name expansion (MIT → Massachusetts Institute of Technology), ORCID-verified researcher profiles, and detailed academic metrics. Perfect for researchers, academics, and developers working with scholarly data.

My personal dotfiles configuration

Run & Manage Long Processes - install, scrap, encode video, compile Search & Read & Edit files - including diff editing for speed and precision

Vault Tools is a privacy-first MCP server that gives your AI coding agent local file conversion and developer utility tools. Process images (format conversion, compression, resizing, EXIF stripping), manipulate PDFs (merge, split, rotate, page extraction), transform data formats (JSON, CSV, YAML, TOML, Base64, URL encoding), and generate hashes (SHA-256, SHA-512), all on your machine. Files are processed locally and never uploaded to any server or passed into the AI's context window, only file paths and metadata are exchanged.

The secure, local-first gateway that bridges your personal files to any AI Agent. OmniDrive is a "Plug & Play" desktop application that allows you to selectively share local folders with AI agents like Claude Desktop, Cursor, ChatGPT, and Gemini. Built on the Model Context Protocol (MCP), it gives your AI assistants the "eyes" they need to see your documents, spreadsheets, and codebase—while keeping you in absolute control.

A Python MCP server for file operations

This is a robust Python-based MCP Filesystem Server. It enables AI models and applications to securely interact with the host system's file directories through a defined set of tools, allowing for operations like reading, writing, moving, and listing files and directories.

Cloud object storage with native MCP interface. AI agents like Claude autonomously save and retrieve files via 14 MCP tools. Memory persists across sessions. Web dashboard with file manager, folder sharing, and full-text search. OAuth 2.0 + API Token auth. Free tier: 10GB storage.

High-performance XML file comparison with semantic analysis capabilities. Features StAX streaming parser for memory-efficient processing of large XML files (60MB+ tested), order-agnostic semantic comparison, and multiple output formats (text, JSON, Excel). Includes 5 MCP tools for comprehensive XML analysis and comparison.

114 JSON-first system commands for AI agents. Zero dependencies, sandbox safety, MCP native. cat, ls, rm, find, grep — all output structured JSON. Glama 92%, all tools A-grade TDQS.

Unified inbox MCP for WhatsApp, Telegram, Email, voice — read/send messages, search conversations, manage contacts, query knowledge graph, and trigger AI agents through natural language.

Execute one-off or scheduled tasks within a virtual computer that can spin up a real browser, a full coding agent, an email inbox and more. OpenHelm unlocks the ability for your agent to carry out all sorts of tasks, such as: • Deep research on a topic • Emailing + handling responses • Coding work • Updating files What makes OpenHelm the best solution for this: • Underpinned by a powerful AI that monitors work and ensures goals are actually achieved • Browser is SUPER stealthy, meaning it can access more of the web than other bots • Work is managed by a powerful agentic system, facilitating multi-step flows For performing complex, one-off or recurring work, OpenHelm provides a secure, remote environment to make it all possible.