LLM-powered MCP server for SPICE circuit design and simulation

LLM-Powered SPICE Circuit Design and Simulation MCP Server

This MCP server, hosted on GitHub, integrates Large Language Models (LLMs) with industry-standard SPICE circuit simulators like LTSpice and NGspice. It provides a programmatic interface for AI agents to design, simulate, and analyze electronic circuits. This tool is designed for developers and researchers looking to automate and enhance the circuit design workflow through AI.

What it Does

The core functionality of this MCP server is to bridge the gap between LLMs and SPICE simulation engines. It allows AI agents to receive circuit design specifications, generate SPICE netlists, execute simulations using LTSpice or NGspice, and then interpret the simulation results. This enables complex tasks such as automated circuit optimization, fault diagnosis, and novel circuit generation based on performance criteria.

Key Features

• LLM Integration: Facilitates natural language interaction for circuit design and analysis.
• SPICE Simulation: Supports both LTSpice and NGspice for robust circuit simulation.
• Automated Netlist Generation: AI agents can programmatically create SPICE netlists from high-level descriptions.
• Result Interpretation: Enables LLMs to process and understand simulation outputs (e.g., voltage, current, frequency response).
• Developer-Focused: Designed for integration into custom AI workflows and development pipelines.

Who it's For

This tool is specifically for AI developers, electrical engineers, and researchers working on AI-driven electronic design automation (EDA). It is ideal for those aiming to:

• Develop AI agents capable of autonomous circuit design.
• Automate repetitive simulation and analysis tasks.
• Explore novel circuit architectures using generative AI.
• Integrate advanced simulation capabilities into their AI development environments.