Skip to main content
Glama

AI Conversation Logger

by fablefang
setup-cursor-logging.sh1.55 kB
#!/bin/bash # Cursor自动记录设置脚本 echo "🔧 设置Cursor自动记录快捷命令..." # 添加到 .zshrc echo "" >> ~/.zshrc echo "# Cursor AI对话自动记录" >> ~/.zshrc echo "alias cursor-log='node /Users/allanf/Projects/ai/mcp/ai-conversation-logger-mcp/scripts/cursor-auto-log.js'" >> ~/.zshrc # 创建快捷函数 cat >> ~/.zshrc << 'EOF' # Cursor对话记录函数 cursor-record() { if [ $# -eq 0 ]; then echo "使用方法: cursor-record \"用户输入\" \"AI回复\"" echo "或者: cursor-record \"用户输入\" \"AI回复\" \"项目目录\"" return 1 fi local user_input="$1" local ai_response="$2" local project_dir="${3:-.}" node /Users/allanf/Projects/ai/mcp/ai-conversation-logger-mcp/scripts/cursor-auto-log.js \ "$project_dir" \ "$user_input" \ "$ai_response" } # 快速记录最后一次对话 cursor-quick-log() { if [ -z "$CURSOR_USER_INPUT" ] || [ -z "$CURSOR_AI_RESPONSE" ]; then echo "❌ 请先设置环境变量:" echo "export CURSOR_USER_INPUT=\"你的问题\"" echo "export CURSOR_AI_RESPONSE=\"AI的回复\"" return 1 fi cursor-log "." "$CURSOR_USER_INPUT" "$CURSOR_AI_RESPONSE" } EOF echo "✅ 快捷命令设置完成!" echo "" echo "重新加载shell配置:" echo "source ~/.zshrc" echo "" echo "然后你就可以使用:" echo "1. cursor-record \"问题\" \"回复\"" echo "2. cursor-quick-log(使用环境变量)" echo "3. cursor-log(直接使用脚本)"

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/fablefang/ai-conversation-logger-mcp'

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