Is the paedscale MCP server actively maintained?

The paedscale MCP server was last committed 14d ago and has 0 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

paedscale MCP Server

Name: heyiamnotacoder/paedscale
Rating: 3.2 (1 reviews)
Author: heyiamnotacoder

heyiamnotacoder/paedscale

Score: 55.8 Rank #8978 Agent Framework

[![AgentRank](https://agentrank-ai.com/api/v1/badge/heyiamnotacoder--paedscale)](https://agentrank-ai.com/tool/heyiamnotacoder--paedscale/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

Are you the maintainer of heyiamnotacoder/paedscale? Claim this listing →

Pediatric dose-extrapolation agent: a defensible starting dose for a child from adult pharmacokinetics via allometry × organ maturation, with a cited, graded, auditable rationale. Multi-agent (Opus + Sonnet, live PubMed/openFDA). Decision support, not prescribing.

Add AgentRank to Claude Code Discover and compare tools like heyiamnotacoder/paedscale — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

heyiamnotacoder/paedscale is a Python tool licensed under MIT. Pediatric dose-extrapolation agent: a defensible starting dose for a child from adult pharmacokinetics via allometry × organ maturation, with a cited, graded, auditable rationale. Multi-agent (Opus + Sonnet, live PubMed/openFDA). Decision support, not prescribing.

Ranked #8978 out of 24846 indexed tools.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 2

2 stars → early stage

Freshness 25% 14d ago

Last commit 14d 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 1

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

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/v1/badge/heyiamnotacoder--paedscale)](https://agentrank-ai.com/tool/heyiamnotacoder--paedscale/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/heyiamnotacoder--paedscale/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/heyiamnotacoder--paedscale" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="heyiamnotacoder/paedscale"></script>

Details

Stars: 2
Forks: 1
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: MIT
Last Commit: 14d ago

Matched Queries

topic:mcp

See alternatives to heyiamnotacoder/paedscale → Browse agent-framework category → Best Agent Framework MCP servers → Compare heyiamnotacoder/paedscale → A2A vs MCP: Agent Protocol Comparison →What is MCP? Model Context Protocol Explained →

View on GitHub →