"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.

A Model Context Protocol server that gives AI assistants secure, sandboxed filesystem access with tools for reading, writing, searching, and managing files and directories.

MCP server for performing filesystem operations, enabling file management and manipulation through natural language.

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

Provides advanced filesystem operations for AI-assisted development, including batch file reading, renaming, moving, project structure display, and command execution with Python virtual environment auto-activation.

A token-optimized filesystem MCP server that groups 14 tools into 6 semantic operations, enabling file creation, deletion, reading, moving, querying, and more with reduced context token consumption.

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.

An MCP server exposing the EU Birds Directive Art. 7(4) 'Key Concepts' data: the periods of reproduction and pre-nuptial migration for each huntable bird species in each Member State. It lets you check whether a given hunting-season date falls within a protected period.

Provides secure filesystem access for AI assistants with optimizations like file reading limits and depth-limited traversal to improve token efficiency. It enables AI models to read, write, and search files within explicitly allowed directories while automatically skipping large system folders.

Node.js server implementing Model Context Protocol that enables seamless interaction between Windows and Linux distributions under WSL, allowing file operations like reading, writing, searching, and managing files across the WSL filesystem from Windows.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Provides basic filesystem operations such as listing directories, reading/writing files, retrieving file info, and searching for files, enabling natural language file management.

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.

An enhanced Model Context Protocol filesystem server that fixes common limitations and adds features like glob pattern search, head/tail reading, intelligent file editing with syntax validation, and new tools for delete and command execution.

A secure, highly capable MCP server written in Rust. It exposes a comprehensive suite of filesystem operations as tools for AI agents.

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.

Enables reading, writing, appending, and listing files, restricted to explicitly allowed directories with safety checks against path traversal and symlink escapes.

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.

A Model Context Protocol server that provides secure and intelligent interaction with files and filesystems, offering smart context management and token-efficient operations for working with large files and complex directory structures.

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

Exposes Linux filesystem operations as tools for LLM agents, with configurable root directory and read-only mode, built with FastMCP.

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.

Enables AI assistants to read, write, and manage files on the local system with security features like path restrictions and optional read-only mode.

An MCP server that allows Claude AI to perform filesystem operations including reading, writing, listing, moving files, and searching directories within specified allowed paths.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.