A demo MCP server that enables users to interact with various tools through natural language, including note management, weather queries, calculations, file operations, and shell commands. Uses Ollama for intent detection and structured command parsing from free text input.
Enables remote server control via SSH through Claude, supporting command execution, file transfers, and multi-server management with both standard and streamable HTTP protocols.
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.
A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.
Provides Claude Desktop with direct access to your local file system for development tasks, enabling file operations (read, write, edit), directory browsing, command execution, and codebase search within a configured projects directory.
An MCP server that enables the execution of arbitrary bash commands and returns detailed output including stdout, stderr, and exit codes. It supports customizable working directories, execution timeouts, and environment variable configurations.
MCP server that intercepts and controls AI agent actions in your codebase by enforcing policies on file operations and commands, with logging, approval workflows, and rollback capabilities.
Enables Claude to execute PowerShell commands and scripts in a persistent interactive terminal on Windows, with real-time output streaming to a web terminal.
A secure, git-aware MCP server for working with local repositories, enabling file management, shell commands, and full git operations within allowed directories.
Enables execution of shell commands, directory navigation, and interactive program automation through an enhanced command-line interface. Provides tools for running commands, managing working directories, and handling interactive programs using expect/send sequences.
A single MCP server that gives an AI assistant comprehensive access to manage a homelab, including SSH, Docker, Proxmox, Synology, Cloudflare, and more, with 85 tools and a centralized configuration.
Enables execution of ROS 2 CLI commands through the Model Context Protocol, supporting configurable timeouts, working directories, and secure command whitelisting.
A local Python MCP server for driving, perceiving, and rendering terminal programs, using a pluggable PTY and pyte screen model to let AI agents interact with real TUIs.
Enables LLMs to interact with Discord channels by sending and reading messages through Discord's API, with a focus on maintaining user control and security.