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The llm-no-magic MCP server was last committed 1mo ago and has 0 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

llm-no-magic MCP Server

Name: NatChung/llm-no-magic
Rating: 2.6 (1 reviews)
Author: NatChung

NatChung/llm-no-magic

Score: 40.5 Rank #13581 AI Tool

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No magic, just tokens and conventions. A 4-tab teaching tool that visualizes LLM internals — token sampling, top-10 probabilities, chat templates, and Agent tool calls. Runs locally on Mac (llama.cpp + Qwen3).

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Overview

NatChung/llm-no-magic is a Python agent tool licensed under MIT. No magic, just tokens and conventions. A 4-tab teaching tool that visualizes LLM internals — token sampling, top-10 probabilities, chat templates, and Agent tool calls. Runs locally on Mac (llama.cpp + Qwen3).

Ranked #13581 out of 24850 indexed tools.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 3

3 stars → early stage

Freshness 25% 1mo ago

Last commit 1mo 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 50 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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Markdown

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Details

Stars: 3
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: MIT
Last Commit: 1mo ago

Matched Queries

"agent tool"

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