Summarization Functions
by Braffolk
A powerful MCP server that provides intelligent summarization capabilities through a clean, extensible architecture. It's designed for seamless integration with AI workflows and helps manage context window limitations in AI agents.
Last updated: N/A
What is Summarization Functions?
Summarization Functions is an MCP server designed to provide intelligent text summarization capabilities. It helps AI agents manage their context window by providing concise summaries of large outputs from various sources like command execution, file content, and API responses.
How to use Summarization Functions?
The server can be installed via Smithery or npm. After installation, it needs to be added to your MCP configuration file with the necessary environment variables (API key, provider, model ID, etc.). Once configured, you can use the available functions like summarize_command, summarize_files, summarize_directory, and summarize_text through the MCP server.
Key features of Summarization Functions
Command Output Summarization
File Content Analysis
Directory Structure Understanding
Flexible Model Support
AI Agent Context Optimization
Use cases of Summarization Functions
Preventing context window overflow in AI agents
Improving response quality of AI agents by providing focused summaries
Enhancing efficiency by maintaining important context while reducing noise
Better resource management through intelligent content caching and retrieval
FAQ from Summarization Functions
What AI providers are supported?
What AI providers are supported?
The server supports Anthropic, OpenAI, OpenAI-compatible APIs (e.g., Azure), and Google.
How do I configure the AI provider?
How do I configure the AI provider?
You need to set the PROVIDER and API_KEY environment variables. Optionally, you can also set MODEL_ID, PROVIDER_BASE_URL, and other configuration options.
What summarization functions are available?
What summarization functions are available?
The server provides summarize_command, summarize_files, summarize_directory, and summarize_text functions.
How do I retrieve the full content for a summary?
How do I retrieve the full content for a summary?
You can use the get_full_content function with the ID of the stored content.
What output formats are supported?
What output formats are supported?
The summarization functions support text, json, markdown, and outline output formats.