Braffolk/mcp-summarization-functions
Provides summarised output from various actions that could otherwise eat up tokens and cause crashes for AI agents
This tool helps AI agents manage large amounts of information by providing concise summaries of command outputs, file contents, and directory structures. It takes raw, potentially lengthy data and condenses it into key insights, preventing the AI from getting overwhelmed. Software developers or operations engineers who use AI agents for tasks like code analysis or system monitoring will find this invaluable for improving agent performance and reliability.
No commits in the last 6 months. Available on npm.
Use this if your AI agent struggles with processing large text outputs, leading to errors or less effective responses.
Not ideal if your primary goal is to perform very detailed, line-by-line analysis of large files without any summarization.
Stars
37
Forks
14
Language
TypeScript
License
MIT
Category
Last pushed
Jun 15, 2025
Commits (30d)
0
Dependencies
6
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