"filesystem" matching MCP servers:

A minimal MCP server that exposes three file operations (read_file, write_file, list_directory) within a sandboxed workspace, enabling file management via natural language.

A Model Context Protocol server that gives AI assistants secure, sandboxed filesystem access with tools for reading, writing, searching, and managing files and directories.

A professional MCP server that provides filesystem operations while automatically respecting .gitignore patterns, enabling efficient and token-friendly file access for Claude.

Provides basic filesystem operations such as listing directories, reading/writing files, retrieving file info, and searching for files, enabling natural language file management.

Enables reading, writing, appending, and listing files, restricted to explicitly allowed directories with safety checks against path traversal and symlink escapes.

Enables AI assistants to read, write, and manage files on the local system with security features like path restrictions and optional read-only mode.

A FastMCP server providing comprehensive file system, Docker, and Git operations with concurrency safety and dual transport support.

Enables secure filesystem operations with directory sandboxing and optional read-only mode. Supports file reading/writing, directory management, file searching, and text operations while restricting access to specified directories.

Enables AI coding agents to watch directories for live filesystem changes (create, modify, delete, move) via the Model Context Protocol, providing event-driven access without busy-polling.

A Model Context Protocol server that provides secure and intelligent interaction with files and filesystems, offering smart context management and token-efficient operations for working with large files and complex directory structures.

Exposes Linux filesystem operations as tools for LLM agents, with configurable root directory and read-only mode, built with FastMCP.

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.

Enables any MCP-compatible client to perform filesystem operations — reading, listing, writing, searching, watching directories, and batch processing files — over JSON-RPC 2.0 stdio transport. Includes resource discovery, metrics tracking, and security controls such as allowed roots, size limits, and format allowlists, with a LangGraph agent that accesses files exclusively through MCP.

Provides safe filesystem access for AI clients with root confinement, read-only mode, and file operations like read, write, search, copy, move, delete.

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.

Provides selective filesystem access for AI agents in Visual Studio 2022+ environments, enabling directory traversal, file reading/writing, and validation of allowed directories.

An AI-powered file manager that enables natural language filesystem operations including reading, writing, organizing, and managing files within a secure sandboxed workspace through a web interface.

Gives Analysis Facility users read-only browse, read, stat, and grep access to their own files on shared NFS home and Ceph data areas, with kernel-enforced per-user permissions.

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.

Provides file system access and operations, enabling AI assistants to read, write, list, search, and manage files and directories through a standardized interface.

A secure MCP server enabling read-only access and file search capabilities within a specified directory, while respecting .gitignore patterns.

Provides secure filesystem operations, including reading, searching, and batch processing files, with directory monitoring to detect new files, designed for integration with MCP clients such as LangGraph agents.

Provides MCP tools for filesystem operations on resume directories, including watch, batch extraction, and saving match results.

Enables AI agents to interact with a sandboxed filesystem via MCP tools for reading, writing, searching, and monitoring files, including batch processing and resource discovery for resume management.

Sandboxed filesystem connector for urirun/ifURI, providing query and command routes for file operations like list, read, stat, move, and write, with dry-run and sandboxing.

Enables AI agents to safely read and write files in a sandboxed workspace via natural language, with on-demand connection, CVE-hardened path confinement, injection resistance, and full audit logging.

Enables file system operations (read, write, list, search, watch, batch process) via MCP over JSON-RPC 2.0, used by a resume matching agent.

Enables MCP clients to list, read, search, parse, batch-process, and poll for resume files within a configured root directory over stdio JSON-RPC.

Provides file system tools for resume matching agents, enabling reading, writing, searching, listing, watching, and batch processing of files via the Model Context Protocol.

Enables MCP clients to list, read, and batch-process resume and job description files, watch directories for new uploads, and save reports, with sandboxed access to recruitment data.

Provides MCP tools for reading, listing, writing, searching, watching, and batch-processing files, enabling automated file management and resume matching workflows.

Provides desktop AI clients with sandboxed, controlled read, write, search, and management access to user-selected local folders and projects over the Model Context Protocol.

Enables AI assistants to securely browse, search, inspect, and understand local project files through Model Context Protocol tools.

A production-ready MCP server enabling Claude and other LLMs to perform intelligent file operations with minimal token usage.

A secure, sandboxed MCP server that provides Void Editor with safe filesystem access, enabling AI to create, read, modify, and delete files with comprehensive security controls.

Provides a sandboxed filesystem API for AI agents, enabling natural-language file read, write, append, delete, move, list, create, and metadata operations through MCP tools.

A safe MCP server for sandboxed filesystem operations (list, move, create directories, delete files) via pure Python, designed for Claude Desktop.

Enables MCP clients to interact with a filesystem by listing, reading, writing, and monitoring files, as well as extracting resume text and batch processing files.

Provides sandboxed access to local filesystem operations including directory and file management, content search with glob and regex patterns, and binary file support with configurable safety limits.