"file system" matching MCP servers:

An agentic file-system assistant that lets users read, write, list, and search local files through natural language, using a LangChain agent with an Ollama LLM backed by a FastMCP server.

Provides AI agents with low-latency reflex tools for fast safety checks, option selection, verification, and scoring using calibrated probabilities, reducing reliance on slow LLM deliberation.

Reduces Claude's context window costs by automatically summarizing inactive files to their public interfaces using AST parsing, keeping only the full contents of the currently active file.

A zero-dependency, file-based persistent memory system for AI agents with tiered memory, Ebbinghaus decay, and keyword retrieval.

Provides checkpoint and rollback capabilities for AI agents, reversing file system changes and recording network mutations.

A Model Context Protocol (MCP) server that enables AI assistants to perform comprehensive file operations including finding, reading, writing, editing, searching, moving, and copying files with security validations.

Governance framework for LLM agents. Exposes seven mechanically-enforced rules plus tools for preflight file protection, audit-chain verification, session handoff and worklog templates, MCP config auditing, and an emergency kill switch.

An MCP server that decides whether each step of an agent requires cheap intuition (System 1) or expensive deliberation (System 2) by learning from experience rather than hand-written rules.

A flexible memory system for AI applications that supports multiple LLM providers and can be used either as an MCP server or as a direct library integration, enabling autonomous memory management without explicit commands.

An intelligent middleware that determines when human intervention is necessary in AI agent operations using a sequential scoring system that evaluates multiple dimensions of a request.

A Model Context Protocol server that enables interaction with Service Nervous System (SNS) DAOs on the Internet Computer, allowing users to list proposals, view neurons, get system parameters, manage wallets, and vote on proposals.

An AI-guided conversation-driven development framework that helps build MVPs and POCs rapidly through intelligent dialogue with specialized MCP services.

Cryptographic identity and trust protocol for AI agents. 38 MCP tools across 8 protocol layers: Ed25519 identity, delegation chains, values compliance, signed communication, policy engine, task coordination, cross-layer integration, and agentic commerce. 264 tests passing.

Pre-trade risk validation and position sizing for AI trading agents via G-formula and Iron Fist.

A minimal server that provides Claude AI with secure file system access and sequential thinking capabilities, allowing Claude to navigate directories, read files, and break down complex problems into structured thinking steps.

Enables Claude Code to read and update tasks in the Nexus/TaskBridge project management system through its public API.

A multi-agent system that scans a JavaScript or TypeScript source file for unbalanced addEventListener calls, flags memory-leak vectors, and produces a validated patch via a Gemini LLM.

A LangGraph-powered MCP server for infrastructure orchestration with autonomous subagents.

Enables MCP clients to remotely dispatch AI agents and use file/system tools on an Omarchy VM over authenticated Streamable HTTP, replacing SSH-based pipelines.

An interactive task loop MCP server for Cursor IDE that enables continuous web application development through a persistent terminal-based task processing system. It automates file management and project operations by processing user input in a continuous loop using integrated Cursor rules.