"Understanding Inference Models" matching MCP servers:

Token-efficient skim-then-expand I/O for agentic models, enabling lossless reading of large files via skeletons and exact expansion with anchor IDs.

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.

Enables MCP clients to run Cursor CLI agent prompts with any model the installed CLI offers, continue existing sessions, and list available models and sessions. Adds guarded execution with concurrency limits, timeouts, cancellation, and operator-gated auto-approval so multiple models can be run in parallel.

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

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

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.

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.

A stateless MCP server that wraps the headless Gemini CLI, providing tools to send prompts to Google's Gemini models and receive text responses. It supports both simple prompts and prompts with contextual information.

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

Enables interactive chat with AI models through the Anthropic API, supporting document retrieval, command-based prompts, and extensible tool integrations via the MCP architecture.

Enables AI agents to inspect and free NVIDIA GPU VRAM by managing Ollama models, helping make room for loading new models.

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.

Enables interactive chat with AI models via Anthropic API, supporting document retrieval and extensible command-based tool integrations.

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.

Exposes the Antigravity CLI to MCP clients for structured planning, code review, test validation, general prompts, and literal slash commands against Google Gemini models.

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.

Enables interactive chat with AI models via Anthropic API, supporting document retrieval and command-based prompts through the MCP architecture.

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