Share code with LLMs via Model Context Protocol or clipboard. Rule-based customization enables easy switching between different tasks (like code review and documentation). Includes smart code outlining.
Easy switching between different tasks (like code review and documentation)
Smart code outlining
LLMs via Model Context Protocol or clipboard
Command-line interface
Pros
+Seamless integration with Claude Desktop and Claude Code
+Extends Claude's capabilities with external services
+Standardized MCP protocol for reliable communication
+Active community development and support
Cons
−Requires initial MCP configuration
−May need API keys for external services
−Performance depends on external service availability
🎯 Use Cases
Extend Claude with cyberchitta llm context.py capabilitiesIntegrate external data into AI conversationsAutomate workflows combining Claude with specialized servicesBuild custom AI-powered development tools
👥 Who is this for?
•Claude Desktop and Claude Code users
•Developers building AI-powered workflows
•Teams extending Claude with custom integrations
📋 Prerequisites
•Claude Desktop or Claude Code installed
•Basic understanding of MCP server configuration
•Node.js or Python runtime (depending on server type)