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magenie33-quality-dimension-generator

Generate tailored quality criteria and scoring guides from your task descriptions. Refine objectiv…

RUN IN TERMINAL
# See repository for install instructions
ADD TO claude_desktop_config.json
{ "mcpServers": { "aismithery-magenie33-quality-dimension-generator": { "command": "npx", "args": [] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "aismithery-magenie33-quality-dimension-generator": { "command": "npx", "args": [] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "aismithery-magenie33-quality-dimension-generator": { "command": "npx", "args": [] } } }

TRY THIS MCP

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About This MCP Server

The ai.smithery/magenie33-quality-dimension-generator server is an ai-ml tool that generates tailored quality criteria and scoring guides from task descriptions, allowing for refinement of objective evaluations. It is a remote server that can be connected to AI coding assistants to enable the creation of customized quality assessment tools. Developers would use this server when they need to create specific and detailed evaluation criteria for tasks, such as coding projects or machine learning model outputs.

Generate tailored quality criteria and scoring guides from your task descriptions. Refine objectiv…. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning capabilities via the streamable-http transport.

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the streamable-http transport.

What tools does it provide?

The magenie33-quality-dimension-generator server extends your AI assistant with ai & machine learning capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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