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Train-Assistant MCP Server

Argha2004/Train-Assistant

Score: 27.4 Rank #20878 MCP Server
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Train-Assistant is an AI-powered Machine Learning Training Assistant built with Google Gemini, FastAPI, React, and the Model Context Protocol (MCP). It helps researchers, students, and ML engineers analyze training logs, diagnose model performance issues, and optimize deep learning workflows through an intelligent conversational interface.

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Overview

Argha2004/Train-Assistant is a TypeScript MCP server licensed under MIT. Train-Assistant is an AI-powered Machine Learning Training Assistant built with Google Gemini, FastAPI, React, and the Model Context Protocol (MCP). It helps researchers, students, and ML engineers analyze training logs, diagnose model performance issues, and optimize deep learning workflows through an intelligent conversational interface.

Ranked #20878 out of 24850 indexed tools.

Ecosystem

TypeScript MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% 3mo ago

Last commit 3mo ago → moderate activity

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

Freshness high impact

Last commit was 90 days ago — a recent commit would boost your freshness score

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 Argha2004/Train-Assistant
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Matched Queries

"model context protocol""model-context-protocol"

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