LTspice

About

This Python-based Model Context Protocol (MCP) server enables programmatic control of LTspice on macOS. It allows agents and MCP clients to manage simulation runs, generate and refine schematics, extract detailed data from simulation results, and perform verification tasks. Designed for practical automation, LTspice MCP ensures reliable operations, reproducible artifacts, and outputs that closely mirror native LTspice behavior, streamlining complex electronic design workflows.

Key Features

• 2 GitHub stars
• Automated LTspice simulation execution and job queuing.
• Native LTspice image rendering for schematics, plots, and symbols.
• Automation of .meas statements, assertion-driven verification, and sweep studies.
• Programmatic schematic generation, validation, and layout refinement.
• Extraction of RAW vector data and advanced analysis metrics (e.g., bandwidth, gain/phase margin).

Use Cases

• Integrating LTspice simulation and schematic generation into automated design workflows.
• Running comprehensive stepped and Monte Carlo studies with structured result management.
• Developing AI agents or scripts that interact with LTspice for design exploration, optimization, and verification.