🧙 SAGE-MCP: Simple AI Guidance Engine for Claude - Universal AI assistant with smart mode selection, conversation continuity, and intelligent file handling
概览
SAGE-MCP transforms Claude into a multi-talented development assistant that adapts to your needs. Whether you're debugging code, planning architecture, writing tests, or having a technical discussion, SAGE automatically selects the right approach and model for optimal results. - - Natural conversations with context awareness - - Deep code analysis and pattern recognition - - Comprehensive code reviews with actionable feedback - - Systematic debugging and root cause analysis - - Strategic project planning and architecture design - - Test generation with coverage analysis - - Code improvement and modernization - - Deep reasoning with adjustable thinking depth - Seamless multi-turn conversations across different modes - Automatic context preservation between tool calls - Smart file deduplication - never re-read the same files - Thread-based memory system for long-running tasks - - Intelligent model selection based on task complexity - Support for multiple providers: OpenAI, Anthropic,...
README
以下为原文 README 节选，完整内容请查看原文。
🧙 SAGE-MCP: Simple AI Guidance Engine for Claude
Universal AI assistant MCP server with intelligent mode selection, conversation continuity, and smart file handling
SAGE-MCP transforms Claude into a multi-talented development assistant that adapts to your needs. Whether you’re debugging code, planning architecture, writing tests, or having a technical discussion, SAGE automatically selects the right approach and model for optimal results.
✨ Key Features
🎯 Intelligent Mode System
- chat - Natural conversations with context awareness
- analyze - Deep code analysis and pattern recognition
- review - Comprehensive code reviews with actionable feedback
- debug - Systematic debugging and root cause analysis
- plan - Strategic project planning and architecture design
- test - Test generation with coverage analysis
- refactor - Code improvement and modernization
- think - Deep reasoning with adjustable thinking depth
🔄 Conversation Continuity
- Seamless multi-turn conversations across different modes
- Automatic context preservation between tool calls
- Smart file deduplication - never re-read the same files
- Thread-based memory system for long-running tasks
🤖 Smart Model Selection
- Auto mode - Intelligent model selection based on task complexity
- Support for multiple providers: OpenAI, Anthropic, Google, OpenRouter
- Model restrictions via environment variables for cost control
- Thinking depth control: minimal (0.5%), low (8%), medium (33%), high (67%), max (100%)
📁 Intelligent File Handling
- embedded - Full file content in context (default)
- summary - Token-efficient summaries for large codebases
- reference - File storage with ID references
- output_file - Save output directly to disk (no context pollution)
- Automatic directory expansion and smart deduplication
- Security validation for all file operations
🌐 Web Search Integration
- Real-time documentation lookup
- Best practices and current standards
- Framework and library research
- Error and issue investigation
🎨 Mode Specializations
| Mode | Temperature | Description | Best For |
|---|---|---|---|
| chat | 0.5 | Natural conversations with balanced creativity | Q&A, brainstorming, explanations |
| analyze | 0.2 | Focused precision for code analysis | Architecture review, pattern detection |
| review | 0.3 | Systematic evaluation with consistent standards | Security audits, best practices |
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手？先看 mcpskill.org 教程 →配置
{
"mcpServers": {
"sage": {
"command": "python",
"args": ["/path/to/sage-mcp/server.py"],
"env": {
"OPENAI_API_KEY": "your-key",
"ANTHROPIC_API_KEY": "your-key",
"DEFAULT_MODEL": "gpt-4o",
"DEFAULT_PROVIDER": "openai"
}
}
}
}