Summarization Functions MCP Server

What is Summarization Functions?

An MCP server that provides intelligent text summarization for AI agents, primarily developed to enhance context window management and prevent overflow. It integrates with the Model Context Protocol and supports multiple AI providers (Anthropic, OpenAI, OpenAI-compatible, Google).

How to use Summarization Functions?

Install via npm i mcp-summarization-functions, then add the server to your MCP configuration file with required environment variables (PROVIDER and API_KEY). Use tools like summarize_command, summarize_files, summarize_directory, summarize_text, and get_full_content.

Key features of Summarization Functions

• Command output summarization with execution.
• File content analysis with technical accuracy.
• Directory structure overview with recursion.
• Flexible model support across providers.
• AI agent context optimization with caching.

Use cases of Summarization Functions

• Summarizing large command outputs to prevent AI agent context overflow.
• Analyzing file contents focused on security, API surface, or errors.
• Getting quick overviews of complex directory structures.
• Summarizing arbitrary text like logs, errors, or API responses.