mcp-summarization-functions
Summarization Functions is an MCP server designed to offer intelligent text summarization for AI workflows. It supports multiple features like command output summarization, file content analysis, and directory structure understanding to prevent context window overflow. Built with modern TypeScript, it optimizes AI agent performance through effective context management.
What is the primary purpose of the MCP Summarization Functions?
The primary purpose is to provide intelligent summarization capabilities to manage context windows efficiently in AI workflows, preventing overflow and improving performance.
Which AI providers are supported by the MCP server?
The server supports Anthropic, OpenAI, OpenAI-compatible APIs (e.g., Azure), and Google.
How does the server help in context window management?
It provides concise summaries of large outputs, stores full content for reference, and offers focused analysis, thus optimizing context usage.
What are the available summarization functions?
The available functions include summarize_command, summarize_files, summarize_directory, summarize_text, and get_full_content.
What environment variables are required for configuration?
Required variables include PROVIDER and API_KEY, with optional variables like MODEL_ID, PROVIDER_BASE_URL, MAX_TOKENS, and others for customization.