"A server for exploring filesystem concepts and information" matching MCP servers:

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

Filesystem MCP server for AI assistants. Search, read, edit, and manage local files in directories you choose.

Enables reading, creating, and editing files on the local filesystem through operations like view, create, string replacement, and line insertion.

Standalone TypeScript MCP server for filesystem operations with robust security, encoding support, and cross-platform path handling.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

A filesystem MCP server that preserves file inode and metadata when writing or editing files, operating within allowed directories.

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.

A secure Model Context Protocol server that provides controlled filesystem access within predefined directories, enabling AI models to perform file and directory operations with strict path validation.

Node.js server implementing Model Context Protocol (MCP) for filesystem operations.

Enables reading, writing, editing, searching, and organizing files and directories within allowed root directories, with every tool result size-capped and large text files returned in paged windows instead of all at once. Media reads are rejected above a configurable byte limit, keeping responses bounded while preserving the usual filesystem tool set.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of text notes via URIs and tools.

Node.js server implementing Model Context Protocol (MCP) for filesystem operations with comprehensive permission controls, allowing secure file and directory manipulation with granular access restrictions.

High-performance MCP server giving AI agents advanced filesystem and automation capabilities on Windows, with 26 tools across file I/O, search, Git, process management, and more.

A completely stabilized filesystem MCP server optimized for Claude with overflow-proof design. Supports simultaneous multi-block editing with zero-failure guarantee, advanced error recovery, and performance-tuned parameters for maximum reliability.

Enables MCP-compatible AI assistants to list, inspect, read, search, and modify local files and directories within configured filesystem roots, with permission controls and optional read-only or deletion restrictions.

Enables bounded local filesystem inspection, comparison, and mutation with search and resume capabilities.

A Node.js MCP server for filesystem operations with support for custom ignore files (like .gitignore) to protect sensitive data from AI agents.

A Model Context Protocol server that extends AI capabilities by providing file system access and management functionalities to Claude or other AI assistants.

Enables comprehensive filesystem operations including reading/writing files, directory management, file searching, editing with diff preview, compression, hashing, and merging with dynamic directory access control.

Provides intelligent file system operations with advanced features including code analysis and modification across multiple languages, version control (Git/GitHub), file compression, encryption, semantic search, batch operations, and secure shell command execution.

Provides LLM-optimized filesystem access with intelligent file pagination for large files, lightning-fast ripgrep-powered code search with regex support, and security sandboxing to safely explore and search codebases.

Enables advanced file system operations such as file read/write, directory management, search, archiving, and file watching through natural language.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Provides LLM-optimized tools for advanced code analysis, repository complexity evaluation, and call graph generation. It enables users to visualize directory structures, detect code patterns, and build semantic context with significant token savings.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

A Model Context Protocol server that provides file system operations, analysis, and manipulation capabilities through a standardized tool interface.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.