"Filesystem" matching MCP servers:

A Model Context Protocol server that provides AI agents with secure access to local filesystem operations, enabling reading, writing, and managing files through a standardized interface.

Local inter-agent messaging for AI coding agents via filesystem relay.

Bridges MCP (Claude Code) to ACP (Devin), enabling Claude Code to delegate autonomous tasks to Devin with permission and filesystem sandbox controls.

A universal MCP server that enables any LLM or AI agent to access expert skills from your local filesystem.

Policy-enforcing MCP proxy that blocks dangerous tool calls before they execute. Protects credentials, filesystem, shell, and databases across Claude Desktop, Cursor, Windsurf, and OpenClaw.

Enables durable, crash-safe control of long-running AI-agent workflows with idempotent operations and scope-aware reconciliation over MCP filesystem and execution tools.

Airlock provides named resource locks, atomic shared state, presence, events, and a task queue for AI agents to coordinate on a shared filesystem, with blocking waits and SQLite-backed persistence.

An MCP server that delegates filesystem operations to a specialized React agent, reducing context usage and improving accuracy for AI applications like Claude Code.

A local MCP filesystem wrapper that previews file mutations, requires user approval, and records verifiable undo information for supported clients like Claude Desktop, OpenCode, and Codex.

Enables local AI agents to collaborate as Driver and Navigator for pair programming and technical peer review, exchanging proposals, diffs, and messages through a zero-cloud filesystem-backed MCP server.

Enhanced MCP server for full computer control: mouse, keyboard, screenshots, OCR, deep UI automation, semantic element actions, process management, filesystem watching, and accessibility-aware app launching.

Enables autonomous software-engineering tasks in a repository by coordinating filesystem, GitHub, database, and CI/CD tools through MCP, with a deterministic safety boundary for permissions, validation, timeouts, duplicate protection, and test verification.

Executes TypeScript code in a secure sandbox with IPC-bridged access to MCP tools like filesystem operations and network requests.

A filesystem-based MCP server for AI coding agents to coordinate work across git worktrees by claiming files, checking for conflicts, and logging progress without affecting the repository's git history.

Lets a frontier coding agent delegate research, cataloguing, and long-running computation to a local LLM with guarded filesystem, web, and Python execution tools, preserving the agent's context and tokens.