Skip to main content
Glama
MUSE-CODE-SPACE

Vibe Coding Documentation MCP (MUSE)

muse_summarize_design_decisions

Extracts key architectural and design decisions from conversation logs, analyzes importance, and identifies related code blocks for documentation purposes.

Instructions

Extracts and analyzes key architectural and design decisions from conversation logs. Supports both English and Korean, with importance scoring and keyword extraction. Set useAI=true for Claude-powered enhanced analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conversationLogYesThe full conversation log text to analyze
projectContextNoOptional context about the project for better categorization
languageNoLanguage of the conversation (default: auto-detect)
includeImportanceScoreNoInclude importance scoring for each decision (default: true)
extractRelatedCodeNoExtract related code blocks (default: true)
maxDecisionsNoMaximum number of decisions to extract (default: 20)
useAINoUse Claude AI for enhanced analysis. Requires ANTHROPIC_API_KEY environment variable. (default: false)

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MUSE-CODE-SPACE/vibe-coding-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server