Official reference implementation for secure filesystem operations via Model Context Protocol. Gives AI agents controlled read/write access to local files with configurable directory restrictions and audit logging.
Gives AI agents safe access to files on your computer — read, write, and organize files through a secure, permission-controlled interface.
MCP Server Filesystem is the official reference implementation of a filesystem server for the Model Context Protocol (MCP), maintained in the modelcontextprotocol/servers repository. This Node.js server enables AI agents to perform file operations — reading, writing, creating, listing, moving, searching, and deleting files and directories — while enforcing strict security boundaries through configurable access controls.
The server's security model centers on directory restrictions: allowed directories are specified via command-line arguments at startup, and all operations are validated to ensure they stay within permitted paths. Directory traversal attacks are blocked through path normalization and validation. MCP clients that support the Roots protocol can dynamically update allowed directories at runtime without restarting the server, enabling flexible integration patterns.
The access control flow works in layers: the server starts with directories from command-line arguments, then checks if the connecting client supports the Roots protocol. If the client provides roots, they completely replace server-side allowed directories, enabling the client to control exactly what the agent can access. If the client doesn't support roots, the server falls back to its command-line configuration.
As part of the official MCP server collection (alongside Fetch, SQLite, Memory, and others), this server follows MCP protocol standards with JSON-RPC 2.0 transport. It's compatible with Claude Desktop, Cody, and other MCP-compliant clients. The implementation is open-source under the MIT license, serving as both a production tool and a reference for developers building custom MCP filesystem integrations.
MCP itself was created by Anthropic in 2024 and donated to the Agentic AI Foundation (AAIF) under the Linux Foundation in December 2025, co-founded by Anthropic, Block, and OpenAI.
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Complete file operations (read, write, create, delete) with built-in path validation that prevents access outside configured directories. All paths are normalized to block directory traversal attacks.
Use Case:
AI agents that need to read project files, generate reports, or update configuration files while being restricted to a specific project directory.
MCP clients that support Roots can dynamically update the server's allowed directories at runtime through roots/list_changed notifications — no server restart required. Client-provided roots completely replace server-side directories.
Use Case:
IDE integrations where the user switches between projects and the client automatically updates the server's access scope to match the active workspace.
Full directory operations including creation, listing, recursive traversal, and deletion with permission enforcement at every level of the path hierarchy.
Use Case:
Project scaffolding agents that create directory structures, organize files, or manage repository layouts within permitted directories.
Pattern-based file search across allowed directories with glob matching for finding files by name, extension, or path pattern.
Use Case:
Research and analysis agents that need to locate specific files (all .env files, all test files, config files matching a pattern) across a project structure.
Retrieve file metadata including size, modification time, creation time, and permissions without reading file contents — useful for agents making decisions based on file properties.
Use Case:
Monitoring agents that check which files changed recently, or cleanup agents that identify large or stale files.
Safe file and directory move/rename operations with validation ensuring both source and destination are within allowed paths.
Use Case:
Code organization agents that rename files to follow naming conventions or restructure project layouts.
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