SlimContext FAQs

Question 1

What is SlimContext?

Accepted Answer

SlimContext is an MCP (Model Context Protocol) server that provides robust AI chat history compression tools for clients compatible with the Model Context Protocol. It helps manage the context window for large language models (LLMs).

Question 2

How does SlimContext compress chat history?

Accepted Answer

It offers two main strategies: `trim_messages` for token-based trimming that removes older messages to fit a token limit, and `summarize_messages` which uses AI (OpenAI) to create concise summaries of the conversation, reducing its length while preserving context.

Question 3

Does SlimContext preserve important messages during compression?

Accepted Answer

Yes, both compression strategies are designed to prioritize and preserve all system messages, as well as a configurable minimum number of the most recent messages, ensuring critical context is retained.

Question 4

Is an OpenAI API key always required to use SlimContext?

Accepted Answer

An OpenAI API key is only required if you choose to use the `summarize_messages` strategy, which leverages AI for summarization. The `trim_messages` strategy, a fast and deterministic token-based method, does not require any external API dependencies.

Question 5

What is the Model Context Protocol (MCP)?

Accepted Answer

The Model Context Protocol (MCP) is a standardized specification that allows AI clients to seamlessly integrate and interact with external tools like SlimContext for advanced context management, enhancing the capabilities of large language models.

SlimContext

About

Key Features

Use Cases