Filesystem Context

Filesystem Context is a secure, production-ready Model Context Protocol (MCP) server providing controlled, sandboxed access to the local filesystem for AI assistants. It allows reading, writing, searching, diffing, patching, and bulk operations on files, with extensive security measures such as explicit directory whitelisting, path traversal prevention, sensitive file denylisting, and optional Bearer token authentication. Designed for developers and organizations integrating AI agents with file systems, it offers both local (stdio) and networked (Node Streamable HTTP) transport, structured output for reliable LLM parsing, and flexible deployment options (CLI, Docker, integration with VS Code, Cursor, and others).