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AnalogGym-Opt MCP Server

Computing-Intelligent-Decision-Team/AnalogGym-Opt

Score: 57.0 Rank #921 MCP Server
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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).

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Overview

Computing-Intelligent-Decision-Team/AnalogGym-Opt is a Python MCP server licensed under MIT. 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).

Ranked #921 out of 24850 indexed tools.

In the top 4% of all indexed tools.

Ecosystem

Python MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 5

5 stars → early stage

Freshness 25% 8d ago

Last commit 8d ago → recently updated

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for Computing-Intelligent-Decision-Team/AnalogGym-Opt
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Matched Queries

"mcp server""mcp-server"

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