"Understanding Inference Models" matching MCP servers:

MCP server for TQS structural engineering CAD/analysis software, enabling Claude to read building models, extract drawing data, run structural processing, and script against the TQS API.

An MCP server that enables large language models to connect to remote servers via SSH, execute commands, and transfer files securely.

Enables running multiple AI CLI tools (Claude, Codex, Gemini, Forge, OpenCode) as background processes with automatic permission handling, allowing LLMs to execute async multitasking and combine different AI models.

This MCP server enables interactive chat with AI models via the Anthropic API, supporting document retrieval and command-based prompts.

A Model Context Protocol server that gives AI models access to your iTerm terminal session, allowing them to read output, write commands, and send control characters.

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.

A Model Context Protocol (MCP) server that lets you seamlessly use OpenAI's models right from Claude.

Enables AI models to access and manage SSH connections through a standardized interface, allowing AI assistants to perform SSH operations like connecting to servers, executing commands, and managing files.

A Node.js implementation of the Model Context Protocol that provides secure shell command execution capabilities, allowing AI models like Claude to run shell commands in a controlled environment with built-in security measures.

A bridge that connects physical hardware devices with AI large language models via serial communication, allowing users to control hardware using natural language commands.

Bridges large language models with the Cobalt Strike C2 framework, enabling AI assistants to control adversary simulation workflows through natural language.

Bridges AI models with WinDbg for crash dump analysis and remote debugging.

Wraps the OrcaSlicer CLI to enable AI agents to slice 3D models, run parameter sweeps, and analyze G-code.

Enables Claude Code to orchestrate AI team tasks by delegating simple work to free models (Mimo, OpenCode) and using Claude for planning and review, all via MCP tools like command execution and AI queries.

A lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), allowing AI tools to retrieve AWS documentation and interact with AWS services.

Enables MCP-compatible coding agents to run the local Antigravity CLI as a coding agent, manage conversation context and common options, and inspect usage, quota, models, version, help, and read-only slash commands.

An MCP server that exposes the local GEMPACK CGE toolchain (TABLO, GEMSIM, HAR utilities) as tools Claude can call: compile models, run simulations, read solution and HAR data files, and export to CSV/Excel.

A lightweight server that enables AI agents to interact natively with the Windows operating system for tasks like UI automation and application control. It allows LLMs to perform file navigation, simulate user input, and manage windows without requiring specialized computer vision models.

Allows AI models to observe and interact with the Minecraft world through a bot.

Enables AI models to control Android devices via ADB through natural language commands, supporting screen analysis and automated actions.