mcp-summarization-functions
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A powerful MCP server that provides intelligent summarization capabilities through a clean, extensible architecture.
The Summarization Functions server is a Model Context Protocol (MCP) server designed to enhance AI workflows by providing intelligent text summarization. Built with modern TypeScript, it integrates seamlessly with AI agents to optimize context window usage, a common challenge in AI operations. The server offers concise summaries of large outputs from command executions, file readings, directory listings, and more, ensuring efficient context management. It supports multiple AI providers, including Anthropic, OpenAI, and Google, and offers flexible configuration options. By reducing context window overflow, it improves AI agent performance, response quality, and resource management.
Features
- Command Output Summarization: Execute commands and get concise summaries of their output.
- File Content Analysis: Summarize single or multiple files while maintaining technical accuracy.
- Directory Structure Understanding: Get clear overviews of complex directory structures.
- Flexible Model Support: Use models from different providers.
- AI Agent Context Optimization: Prevent context window overflow and improve AI agent performance through intelligent summarization.
