Serveurs MCP Filesystem

Lets an AI client upload, download, list, modify, and delete files in Google Cloud Storage buckets.

Converts bitmap images such as PNG, JPG, and WebP into SVG vector graphics by tracing them with potrace.

Lets an AI client read files, run terminal commands, and manage processes on your own paired computers over a hosted connection.

Connects Mac and Windows apps like email, calendar, messages and files to AI assistants so they can read context and take actions.

Provides reference implementations of MCP servers to demonstrate how LLMs can access tools, data sources, and filesystems securely.

Lets an AI client run terminal commands, manage processes, and search, read, and edit files on your computer.

Lets an AI client call DeepSeek chat, completion, file, model, and balance endpoints through one MCP server.

Lets an AI client scan, categorize, deduplicate, rename, and organize files on disk as a single reversible operation.

Enables AI clients to inspect, manage, and organize local files, Finder tags, and iCloud Drive contents on macOS.

Lets AI clients access your computers' files and run commands in approved folders, and share local models, through one Frely login.

Lets an AI assistant read and write your self-hosted Nextcloud files, calendars, tasks, contacts, Talk and Deck through 384 MCP tools.

Lets an AI client upload and download files, query folders, manage users, and run automations on a Files.com site.

Turns a Chrome browser into a virtual filesystem, allowing AI agents to navigate and interact with web pages using standard Linux commands.

Provides direct filesystem access to Obsidian vaults for high-speed keyword, semantic, and metadata-based searching and editing.

Enables AI agents to perform lightning-fast Windows file searches using the voidtools Everything real-time NTFS index.

Expose a PC's shell, filesystem, system stats, and UI controls to any MCP client over streamable HTTP.

Upload local files up to 5 GB directly to Notion and attach them to pages as video, PDF, image, audio, or file blocks.

Lets an AI client read, search, and modify Markdown files within explicitly configured Obsidian vaults.

Enables AI assistants to safely read, search, edit, and patch files within specified directories using secure, regex-powered tools.

Provides a self-hosted AI workspace that gives LLMs controlled access to shell environments, filesystems, browsers, and remote machines.

Enables AI clients to perform encoding-aware file operations on non-UTF-8 text files while preserving original charsets, BOM, and line endings.

Installs and verifies a curated set of MCP servers for DeepSeek Harness profiles with one command.

Lets AI assistants read and modify Nextcloud notes, calendars, contacts, files, mail, and more through natural language.

Gives AI clients filesystem access to read, write, search, and modify project files, plus run custom commands and generate context documents.

Provides AI assistants with filesystem access to read, edit, search, and execute shell commands across local and remote SSH/SFTP directories.

Lets an AI client manage OneDrive files by listing, searching, uploading, downloading, and reading text or Office document contents via Microsoft Graph.

Provides a verifiable memory layer for coding agents that validates stored facts against the local filesystem and git history.

Lets an AI assistant search, read, edit, patch, move, and undo changes to files in folders you allow.

Provides AI agents with a persistent memory layer and virtual filesystem to read, search, and update project context.

Lets AI agents create lightweight sandboxes, execute code, manage files, and monitor resources in isolated environments.

Provides AI assistants with comprehensive filesystem access, including file management, process control, OCR, archive handling, and web fetching.

Provides AI assistants with comprehensive filesystem access, process management, interactive shell sessions, and advanced file manipulation tools.

Provides AI agents with secure, selective access to local project directories and files with configurable read and write permissions.

Provides a single unified interface for 278 tools covering file operations, shell access, GitHub management, Android control, and desktop automation.

Enables AI clients to perform FCA Handbook compliance analysis with verbatim citations and structured reasoning.

Exposes a suite of 38 tools for files, shell, search, and browser automation to web-based AI clients via an OAuth-gated MCP endpoint.

Provides a shared POSIX filesystem for AI agents and teams to manage persistent files across Linux and macOS environments.

Provides an anonymized filesystem gateway that redacts PII and secrets from files before an AI agent reads them.

Enables AI agents to read, search, and edit Obsidian vault notes directly via the filesystem without requiring the Obsidian application to be running.

Provides a sandboxed filesystem interface that lets an AI client list, read, search, and optionally edit files within strictly defined root directories.

Lets an AI agent convert local files between hundreds of formats including images, documents, audio, video, and more.

Lets AI assistants read, write, edit, move, and delete files and run git and GitHub operations inside a confined project directory.

Exposes filesystem, bash, and JavaScript execution tools to AI agents via stdio or HTTP transports.

Exposes filesystem, bash, and JavaScript execution tools to MCP-compatible agents over stdio or HTTP.

Enables an AI client to read, create, and edit files on your local system through specific tools for viewing, replacing, and inserting text.

Allows an AI client to mount and unmount VeraCrypt containers using secure stdin password handling and OS keyring integration.

Converts files and public HTTPS pages into text, editable Word documents, or structured Markdown.

Enables AI agents to read and write plaintext files in environments where disk encryption software is active by leveraging Node.js whitelist permissions.

Lets an AI client manage Obsidian vaults as a filesystem-first knowledge base with automated wiki orchestration and multi-vault support.

Enables AI clients to perform comprehensive file system operations, manage Git repositories, and control Docker containers.