SlimContext MCP Server

Example Use Cases

• 1

  Compress chat history by trimming oldest messages based on token limits.

• 2

  AI-powered summarization to create concise conversation summaries using OpenAI.

• 3

  Efficiently manage and reduce token usage in long chat sessions.

Description

SlimContext MCP Server wraps the SlimContext library to offer two compression strategies for MCP-compatible clients: token-based trimming and AI-powered summarization using OpenAI. It helps reduce chat history size while preserving important context, improving efficiency in managing conversation data. The server supports customization of compression parameters and integrates easily with MCP clients.