- Slackbot MCP
Slackbot MCP
A Slackbot LLM agent that allows connecting to an LLM and MCP servers
Overview
What is Slackbot MCP?
Slackbot MCP is a powerful Slack bot that integrates with LLM (Large Language Model) and MCP (Multi-Channel Platform) servers to provide intelligent responses and manage multiple bots effectively.
How to use Slackbot MCP?
To use Slackbot MCP, clone the repository from GitHub, install the necessary dependencies using Poetry, set up the environment, and start the development server using Docker.
Key features of Slackbot MCP?
- Slack integration with Events API for real-time interactions
- LLM-powered responses for intelligent conversation
- MCP tool integration for enhanced functionality
- Multi-bot management capabilities
- Thread-aware conversations for better context handling
- Channel-specific configurations for tailored experiences
Use cases of Slackbot MCP?
- Automating responses in Slack channels based on user queries.
- Managing multiple bots within a single Slack workspace.
- Providing contextual assistance in threaded conversations.
FAQ from Slackbot MCP?
- Can Slackbot MCP handle multiple channels?
Yes! It is designed to manage multiple channels and provide channel-specific configurations.
- What are the prerequisites for running Slackbot MCP?
You need Python 3.9+, Docker, PostgreSQL, and Redis to set up the environment.
- Is there a way to contribute to Slackbot MCP?
Yes! You can create a new branch, make changes, run tests, and submit a pull request.
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