twoDClassifier MCP Server
caidish/twoDClassifier
This github is a model that uses pretrained deeplearning network or other CV algorithm to provide a MCP server. Model can use this to quickly distinguish 2D material properties such as thickness. The neural network part is not open source yet.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
caidish/twoDClassifier is a Python MCP server. This github is a model that uses pretrained deeplearning network or other CV algorithm to provide a MCP server. Model can use this to quickly distinguish 2D material properties such as thickness. The neural network part is not open source yet.
Ranked #13714 out of 25022 indexed tools.
Ecosystem
Score Breakdown
4 stars → early stage
Last commit 1y ago → stale
No issues filed → no history to score
0 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
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