"Compiler Explorer" matching MCP servers:

A Model Context Protocol server for exploring and analyzing CSV files, providing tools for inspection, sampling, schema inference, statistics, filtering, and more.

A beginner-friendly MCP server that enables AI to explore file systems through tools for listing directories, reading files, searching with wildcards, and getting file metadata. Perfect for learning MCP development while providing practical file system interaction capabilities.

Enables human-approved SSH terminal sessions and confined SFTP file operations for SSH-configured devices, with user-controlled terminal and file explorer.

Enables AI assistants to intelligently search and explore local file systems using native Unix commands (ripgrep, find, ls) with token-optimized output, automatic pagination, and multi-layer security validation.

A lightweight MCP tool for directory tree visualization in Cursor, with smart filtering and customizable ignore/keep patterns.

Provides local Windows utilities to MCP clients, enabling file explorer and notepad actions, hardware/process inspection, and network connection details with geolocation.

A beginner MCP server that enables Claude to read local text, CSV, and Markdown files. Built as a learning project to understand how to connect AI to local file systems using the MCP protocol.

An MCP server that allows LLMs to read, analyze, and interact with Excel files through file operations, data discovery, and comprehensive analysis tools.