"A guide to analyzing data effectively" matching MCP servers:

Enables AI agents to control and interact with a local Windows computer through authenticated MCP tools, including file operations, shell commands, process management, HTTP requests, and system/media inspection.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

A local MCP runtime for macOS and Windows that enables ChatGPT to read, edit, search, run tests, and capture screenshots in your local project folder while keeping your source code on your machine.

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 simple MCP server that exposes a terminal tool, allowing AI agents to execute shell commands.

The m2m-mcp-server-ssh-client provides a unified MCP server interface, securely connecting via SSH to the m2m-mcp-server-ssh-server back-end which aggregates MCP servers. This setup offers secure, single-point access to diverse remote tools using robust SSH key-based authentication.

An MCP server that enables AI assistants to execute shell commands and manage files on remote servers via SSH. It supports recursive directory uploads, archive extraction, and direct file creation from text content.

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.

Enables MCP-compatible AI clients to connect to a Windows machine for file operations, PowerShell execution, Git inspection, task management, memory, and skills.

A universal MCP server that enables AI agents to securely manage PostgreSQL databases, make API requests, and execute SSH commands with features for database analysis, schema editing, and data operations.

Enables AI assistants to manage MySQL databases through natural language commands. Supports database operations, table management, data queries, and import/export functionality with built-in security features.

Provides AI assistants with natural language access to IMAS data structures and enables remote facility exploration through SSH.

Enables ChatGPT to work with explicitly registered projects on a Windows device through a secure, self-hosted bridge.

Enables AI agents and humans to read and write a git-backed knowledge base through isolated sandbox sessions, with tools for creating and closing sessions, running shell commands, listing sessions, and retrieving guide documents.

Enables AI agents to execute commands in a shared tmux session that is simultaneously visible to a human via a web-based terminal UI.

Enables Claude to manage a Proxmox VE host through natural language, including guest lifecycle, snapshots, host status monitoring, and shell execution via a companion bridge.

A Model Context Protocol server that enables secure and structured interaction with Microsoft SQL Server databases, allowing AI assistants to list tables, read data, and execute SQL queries with controlled access.

A Python implementation of the Model Context Protocol that allows applications to provide standardized context for LLMs, enabling creation of servers that expose data and functionality to LLM applications through resources, tools, and prompts.

Convex’s MCP server lets you introspect tables, call functions, and read/write data seamlessly. Agents can generate one-off queries safely—thanks to Convex’s sandboxed queries, ensuring data integrity. Perfect for AI automation, real-time apps, and dynamic data access.

A remote MCP server that provides full filesystem and shell access to a cloud-hosted environment via HTTPS, enabling Claude Desktop to read, write, edit, search files, and execute commands on a remote Azure machine.