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twoDClassifier MCP Server

caidish/twoDClassifier

Score: 26.0 Rank #13714 MCP Server
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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.

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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

Python No license

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 4

4 stars → early stage

Freshness 25% 1y ago

Last commit 1y ago → stale

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 2
Description Detailed
License None

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Freshness high impact

Last commit was 370 days ago — a recent commit would boost your freshness score

Contributors medium impact

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

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AgentRank score for caidish/twoDClassifier
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Matched Queries

"mcp server""mcp-server"

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