genpark-agentic-prompt-compression-token-sieve-skill MCP Server

Name: Alpha-Park/genpark-agentic-prompt-compression-token-sieve-skill
Rating: 3.3 (1 reviews)
Author: Alpha-Park

Alpha-Park/genpark-agentic-prompt-compression-token-sieve-skill

Score: 58.0 Rank #7162 MCP Server

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Dynamic Few-Shot Agentic Prompt Compression & Token Sieve. Compresses multi-turn conversation history, strips verbose boilerplate and filler tokens, retains critical tool parameters and named entities, slashing inference costs by 40-60% deterministically.

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Overview

Alpha-Park/genpark-agentic-prompt-compression-token-sieve-skill is a Python tool licensed under MIT. Dynamic Few-Shot Agentic Prompt Compression & Token Sieve. Compresses multi-turn conversation history, strips verbose boilerplate and filler tokens, retains critical tool parameters and named entities, slashing inference costs by 40-60% deterministically.

Ranked #7162 out of 24846 indexed tools.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 7

7 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 0

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

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Markdown

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HTML

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Details

Stars: 7
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: MIT
Last Commit: 14d ago

Matched Queries

topic:mcptopic:mcp-servertopic:model-context-protocol

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