Slack CLI

About

This tool addresses the significant token consumption issues faced by Large Language Model (LLM) agents when interacting with Slack through traditional MCP (Machine Comprehension Platform) servers. By providing a Docker-wrapped Slack server accessible via a CLI, it drastically reduces token usage—achieving up to a 98.7% reduction—while maintaining consistent LLM accuracy. This approach allows LLMs to compose commands, write wrappers, and leverage standard shell tools for scriptable and composable interactions with Slack, optimizing performance and cost for AI agents.

Key Features

• 1 GitHub stars
• Achieves 98.7% token reduction for LLM agents interacting with Slack
• Provides a Docker-wrapped Slack server as a command-line interface
• Enables scriptable and composable LLM agent interactions
• Maintains consistent LLM accuracy even with multiple servers
• Leverages standard shell tools (pipes, redirects) for flexibility

Use Cases

• Integrating Slack functionality into LLM agent workflows efficiently
• Developing token-optimized LLM agents for automated Slack interactions
• Reducing operational costs for AI agents communicating with Slack channels