"Resources or Information on Marketing" matching MCP servers:

Gives ChatGPT hands-on control of a local machine: reading, patching and executing code in approved project folders, running real interactive processes, managing plans and worker sub-chats, and driving the browser or desktop through user-granted permissions. Every capability is a switch inside an approved-folder sandbox, so nothing runs that the user did not explicitly enable.

Enables AI agents to run WP-CLI commands on WordPress sites, including byte-faithful post and meta copying with checksum verification, over local Docker, Pantheon Terminus, or SSH.

A production-ready MCP server that enables AI assistants to execute shell commands, manage files, monitor system resources, and automate complex workflows with advanced features like stock tracking and web automation.

Exposes a Kubernetes cluster to MCP-compatible AI clients, enabling read-only and optional write operations on cluster resources like pods, deployments, and namespaces through natural language.

A production-grade TypeScript starter for building Model Context Protocol servers, supporting stdio and Streamable HTTP transports with modular tools, resources, and prompts.

Enables AI assistants to execute malware analysis tools on a REMnux system via Docker, SSH, or local connections. It provides automated file-type analysis, structured tool discovery, and security guardrails for streamlined malware investigation.

An MCP server that drives OrcaSlicer headlessly on a virtual display, enabling an agent to import 3D models, slice them, and export G-code without a physical screen or GUI automation.

Provides Ubuntu system information (CPU, memory, disk, network, services, processes) to Bob via natural language queries.

MCP server that turns ChatGPT Web or any MCP client into a coding agent on your own repositories, enabling file editing, command execution, testing, and git workflow without an OpenAI API key.

An MCP server that enables Claude to interact with Tembo Cloud platform API, allowing users to manage Tembo Cloud resources through natural language.

Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.

Allows Claude and other AI assistants to interact with Docker through the MCP protocol, enabling container and image management including listing, running, stopping, and pulling Docker resources.

Automates setup of local development environments for Python, Node.js, Flutter, Android, and more on macOS and Linux. Can be used as a standalone CLI or as an MCP server for AI assistant integration.

An MCP server providing direct access to gdb-multiarch for debugging Nintendo Switch executables on Yuzu or hardware via a GDB stub. It features specialized tools for offset-based breakpoints, instruction patching, and frame-pointer backtraces relative to the game's base address.

An MCP server that allows AI models to execute system commands on local machines or remote hosts via SSH, supporting persistent sessions and environment variables.

Enables natural language interaction with Docker commands and operations. Supports container management, image operations, system information, and Docker Compose through conversational requests.

A Model Context Protocol server that connects Gemini CLI with CoinGecko's API, enabling users to access 46 cryptocurrency data tools including price tracking, market trends, and NFT information through terminal commands.

A server that enables running SQL queries against IoTDB databases, providing data reading capabilities and schema information through a Model Context Protocol interface.

Open-source MCP server that lets AI agents control 3D printers. 353 tools for OctoPrint, Moonraker, Bambu Lab, Prusa Link, and Elegoo — search model marketplaces, generate 3D models from text, slice STL files, queue prints, monitor with camera vision, and manage multi-printer fleets. Install via pip install kiln3d.

A Model Context Protocol server allowing Claude AI to interact with AWS resources through natural language, enabling users to query and manage AWS services without using the traditional AWS Console or CLI.