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MCP server · Science

AnalogGym Opt

by · github.com/Computing-Intelligent-Decision-Team/AnalogGym-Opt

GRPO-based multi-objective analog circuit sizing on AnalogGym benchmarks (ngspice + SkyWater sky130), with LLM-agent integration via Claude Code skills and an MCP server. Companion code for the IEEE TCAD paper AnalogGym-Opt (doi 10.1109/TCAD.2026.3733612).

Unclaimed analog-designbenchmarkcircuit-sizingedagrpollm-agentsmcpngspicesky130
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Scored 28 days ago · breakdown

About AnalogGym Opt

AnalogGym Opt is an MCP server published by Computing-Intelligent-Decision-Team in the Science category: gRPO-based multi-objective analog circuit sizing on AnalogGym benchmarks (ngspice + SkyWater sky130), with LLM-agent integration via Claude Code skills and an MCP server. Companion code for the IEEE TCAD paper AnalogGym-Opt (doi 10.1109/TCAD.2026.3733612).

The repository has 2 stars and 0 forks.

Install

From source
git clone https://github.com/Computing-Intelligent-Decision-Team/AnalogGym-Opt

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About AnalogGym Opt

How do I install AnalogGym Opt?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is AnalogGym Opt safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

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