"filesystem" matching MCP servers:

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of text notes via URIs and tools.

Provides a hardened filesystem interface that lets a local model read and write files only within user-specified directories, with symlink protection and atomic operations.

Provides intelligent file system operations with advanced features including code analysis and modification across multiple languages, version control (Git/GitHub), file compression, encryption, semantic search, batch operations, and secure shell command execution.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

A secure Model Context Protocol server that provides controlled filesystem access within predefined directories, enabling AI models to perform file and directory operations with strict path validation.

Node.js server implementing Model Context Protocol (MCP) for filesystem operations with comprehensive permission controls, allowing secure file and directory manipulation with granular access restrictions.

Provides local hybrid search over files by combining semantic vector and full-text BM25 retrieval, with MCP stdio/HTTP support, OAuth 2.1 authentication, and tools for reading and converting documents to Markdown.

Provides comprehensive filesystem operations (read, write, list, create, delete, move files and directories) through the Model Context Protocol with Streamable HTTP transport and built-in security through configurable root directory restrictions.

Enables SQL Server database operations (queries, table management) and file system access (read, write, directory listing) with security controls. Supports comprehensive database interactions and file management through a unified MCP interface.

Watches local and SMB folders for settled new files and pushes them into the Renfield knowledge base and Paperless over REST; also provides interactive MCP tools for browsing and on-demand file ingestion.

Enables remote file system operations (read/write files, manage directories, search files) over HTTP using OAuth 2.0 authentication, with support for web-based clients and multiple concurrent sessions.

A comprehensive Node.js server implementing Model Context Protocol (MCP) that enables filesystem operations, process management, and terminal session handling with an enterprise-grade security approach.

Serves an LLM-maintained markdown wiki to agents over MCP, providing tools for querying and navigating wiki pages without direct filesystem access.

A collection of Model Context Protocol servers that enable Claude Desktop to provide development assistance capabilities with filesystem, Git, shell command, and web search functionality without incurring API usage costs.

Enables interaction with multiple Obsidian vaults through natural language, supporting note operations, search, and vault management with both REST and filesystem backends.

Enables reading and verifying C2PA Content Credentials from images and videos through both embedded manifests and invisible watermarks. Supports direct filesystem access, URL checking, and provides structured provenance data including creator identity, AI generation info, and content authenticity.

Filesystem first MCP server for Obsidian vaults with an LLM-Wiki layer on top.

MCP server that lets agents edit real Microsoft Word (.docx) documents - tracked changes, tables, styles, comments, content controls, and document properties - with every edit validated and previewed before saving. Built on the Open XML SDK (no Word automation); reads and writes documents in place through filesystem or SharePoint storage.

Provides filesystem, web search, SQLite, and system tools for AI assistants like Claude, enabling secure access to local resources and the web.

A Python MCP server that provides controlled access to local filesystem, terminal, processes, and SAP HANA Cloud, enabling Claude to interact with your machine and databases securely.

Self-hosted knowledge backend for AI agents. Provides 11 MCP tools for hybrid vector + keyword search, container-isolated knowledge bases, and 4 storage connectors (S3, Azure Blob, MinIO, filesystem). Built with .NET, runs via Docker.

MCP server for saving, reading, and listing Markdown notes in the filesystem. Enables agents to persistently store reports or notes as plain Markdown files.

An all-in-one self-hosted remote MCP server and gateway that lets AI clients access filesystem, terminal, background processes, and computer-use tools, and multiplex local stdio MCP servers over Streamable HTTP on Linux, Jetson, macOS, and Windows. It bundles revocable API keys, OAuth 2.0, and a read-only/coding safety switch so cloud and desktop assistants can safely drive remote machines.

Connects AI assistants to GitHub repositories, pull requests, issues, commits, and code search while enabling repository visibility controls, CI/CD monitoring, sandboxed local filesystem access, and code quality/security analysis.

Enables management of Sprite VMs through interactive dashboards and terminal interfaces. It allows users to execute commands, create filesystem snapshots, transfer files, and manage VM lifecycles via natural language.

Enables storing and managing dynamic review records with custom schemas for any category (coffee, whisky, wine, etc.), supporting both local filesystem and Cloudflare R2 storage with flexible field definitions.

A KISS self-hosted wiki server for AI agents, providing MCP tools to list, read, search, write, and append notes to Markdown files on the filesystem.

Enables AI clients to perform sandboxed filesystem, directory, Ubuntu system, network, git, and code/text operations through 38 typed tools confined to a workspace. Ships with a browser-based web console that provides an interactive Linux terminal, a live tool playground, and real-time CPU, memory, and disk monitoring.

A config-driven, zero-dependency MCP server with plugin architecture that enables filesystem operations, shell commands, HTTP requests, and utilities through simple JSON configuration.

A Python library to build MCP servers with decorators, auto-generating JSON Schema from type hints and including built-in filesystem and HTTP servers.

Enables comprehensive access to Obsidian vaults through MCP, supporting multi-vault management, knowledge graph analysis, canvas manipulation, dataview queries, template rendering, and periodic notes creation. Provides both local filesystem and remote API connectivity for complete Obsidian integration.

Enables AI assistants to generate high-quality images using OpenAI's DALL-E 3 model with configurable parameters like size, quality, and style. Generated images are automatically saved to the local filesystem with comprehensive error handling.

An MCP server that allows users to generate images using Replicate's Stable Diffusion model and save them to the local filesystem.

Provides virtual filesystem workspaces with full file operations (read, write, ls, tree, mkdir, rm, mv, cp, cd, pwd, find, grep) and checkpoint management. Supports multiple storage providers (memory, filesystem, sqlite, s3) with session, user, and shared scopes.

A Model Context Protocol (MCP) server that enables AI assistants to download files from URLs to the local filesystem.

Provides an FTP-like shared virtual filesystem for AI agents with SHA-256 integrity verification, metadata extraction, and access-hash based channels.

Provides comprehensive filesystem operations, text search/replace, image processing, and Tesseract OCR capabilities for AI agents via the Model Context Protocol.

Enables MCP clients to call all 185 Telegram Bot API methods over stateless Streamable HTTP at /mcp, including rich messages, meta-mode, Zod validation, rate limiting, and retries. It runs as a Cloudflare Worker, supporting Bot API operations by file_id, URL, or bytes while local-filesystem-dependent features return errors.

Enables deterministic, read-only multimodal evidence review by normalizing text, tables, PDFs, images, and screenshots into provenance metadata, with optional controlled filesystem access and no provider calls.

Enables agents to discover Kujo projects, primitives, tooling, showcases, agent skills, workflows, and WebOps capabilities, retrieve exact source-backed records with install text and version notes, and get small deterministic stack recommendations. All seven tools are read-only, deterministic, and idempotent, with no write, fetch, filesystem, shell, install, or deployment capability.