{"repo":"Braffolk/mcp-summarization-functions","free":true,"listed":false,"github":"https://github.com/Braffolk/mcp-summarization-functions","clone":"git clone https://github.com/Braffolk/mcp-summarization-functions.git","description":"Provides summarised output from various actions that could otherwise eat up tokens and cause crashes for AI agents","language":"TypeScript","stars":37,"topics":["mcp","mcp-server","model-context-protocol","cline"],"license":"MIT","category":"mcp-servers","readme_excerpt":"Summarization Functions Intelligent text summarization for the Model Context Protocol Features • AI Agent Integration • Installation • Usage --- Overview A powerful MCP server that provides intelligent summarization capabilities through a clean, extensible architecture. Built with modern TypeScript and designed for seamless integration with AI workflows. Installation Installing via Smithery To install Summarization Functions for Claude Desktop automatically via Smithery: AI Agent Integration This MCP server was primarily developed to enhance the performance and reliability of AI agents like Roo Cline and Cline. It addresses a critical challenge in AI agent operations: context window management. Context Window Optimization AI agents frequently encounter situations where their context window gets rapidly filled with large outputs from: - Command execution results - File content readings - Directory listings - API responses - Error messages and stack traces This server helps maintain efficient context usage by: 1. Providing concise, relevant summaries instead of full content 2. Storing full content for reference when needed 3. Offering focused analysis based on specific needs (security, API surface, etc.) 4. Supporting multiple output formats for optimal context utilization Benefits for AI Agents - Reduced Failure Rates : By preventing context window overflow - Improved Response Quality : Through focused, relevant summaries - Enhanced Efficiency : By maintaining important contex","default_branch":null,"files":null,"tree":[],"storefront":"/r/Braffolk","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Braffolk/mcp-summarization-functions/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}