"file system" matching MCP servers:

Wraps the Claude Agent SDK as MCP servers, letting you spawn multiple specialized Claude Code agents — each with its own model, tools, system prompt, and personality — from any MCP client.

A smart, checkpoint‑based undo system for Claude Code. Automatically snapshots file states before modifications, deduplicates unchanged checkpoints, and enables lightning‑fast restoration so you can experiment confidently with AI‑driven edits.

Runs as an MCP server providing file system operations, shell execution, and system information tools, allowing Claude or any MCP client to edit files and control the machine.

Exposes the active file and selection(s) from VS Code to MCP clients, enabling CLI coding agents to access current editor context.

Enables Codex CLI to delegate tasks to file-based specialized agents with isolated execution, auditability, and CI-friendly validation.

Enables building Flutter and Dart apps through a multi-agent system that orchestrates specialized agents for UI design, backend development, testing, and deployment.

An MCP server that automates code review by providing syntax checking, code explanation, and improvement suggestions using a multi-agent system.

A Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.

Provides coding agent capabilities including file operations, terminal commands, search functionality, and utility operations.

Unified capability catalogue with formally verified cartridges, distributed community hosting, and the Teranga menu system for single gateway access to a vast rabbfe of MCP, LSP, NeSy and related servers.!

A bridge between Gemini and GLM-4.5 models that provides 25 tools for automating complex coding tasks, file management, and system operations. It features a security-hardened architecture with sandboxing, persistent memory, and automatic file backups.

An AI-powered MCP server that enables natural language interaction with AO (Arweave Operating system) for creating, running, and testing code and handlers without manual coding.

Enables multiple AI coding agents to collaborate on a project by coordinating tasks, file leases, and messages through a shared hub, preventing conflicts and enabling parallel development.

Bridges MCP to Cursor Agent via ACP, allowing Codex to delegate file edits and shell commands to Cursor for repository modifications, with security defaults.

Enables ChatGPT operators to access and control native host and worker capabilities—including sessions, message IDs, file operations, worktrees, shell/PTY commands, and permissions—through MCP tools with bounded, fingerprinted responses.

A local MCP bridge that lets ChatGPT control opencode sessions for code modification, file reading, and repository management on your own computer.

Enables ChatGPT to submit tasks to a single explicitly bound local Codex workspace and conversation, then retrieve execution results, file contents, and diffs through MCP tools.

A local vector database system that provides LLM coding agents with fast, efficient semantic search capabilities for software projects via the Message Control Protocol.

LocalAnt is a local-first MCP gateway that lets ChatGPT control your PC through approved, permissioned tools for shell commands, file management, coding agents, browser automation, and more.

MCP server exposing pi coding-agent tools for file and shell operations, including read, write, edit, bash, grep, find, and ls.