@j0hanz/prompt-tuner-mcp-server

npm v1.3.3

11 weekly downloads · MIT · 6 Dependencies

Recently publishedNew packageSingle maintainer

Source data as of:

Summary

MCP server that refines and improves user prompts for AI-optimal readability

Install npm install @j0hanz/prompt-tuner-mcp-server

Registry values

Reproduced verbatim from the official registry, with the source named on each value.

Weekly downloads 11 Source: npm Registry
Releases 18 Last release: 2026-01-19 Source: npm Registry
Dependencies 6 Source: npm Registry

Description

MCP server that refines and improves user prompts for AI-optimal readability

Registry-supplied description, cleaned to plain text. Source: npm Registry.

Package details

Package
@j0hanz/prompt-tuner-mcp-server
Registry
npm
Version
1.3.3
Weekly downloads
11 (weekly)
License
MIT
Dependencies
6: @anthropic-ai/sdk, @google/genai, @modelcontextprotocol/sdk, openai, pino, zod
Releases
18
Last release
2026-01-19
First published
2025-12-21
Keywords
mcp, model-context-protocol, prompt, prompt-engineering, ai, llm, refinement, optimization, typescript
Homepage
https://github.com/j0hanz/prompt-tuner-mcp-server#readme

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Derived indices (computation method published)

Quanteta-computed from the registry values below. This is a derived index, not a measured registry metric. See the formula on the Data & Sources page.

Q-Vitality Quanteta 49.9 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 2.8 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 45.6 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources

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Same ecosystem

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Same license

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Shared keyword

@delorenj/mcp-server-trello npm 8,415 mcp-local-rag npm 906 search-console-mcp npm 671 cortex-mcp npm 179
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