Slackbot MCP

What is Slackbot MCP?

Slackbot MCP is a Slack bot that integrates with the Slack Events API and is powered by an LLM with MCP (Model Context Protocol) tool integration. It supports multi-bot management, thread-aware conversations, and channel-specific configurations, intended for developers needing a programmable bot with advanced LLM capabilities.

How to use Slackbot MCP?

To set up, clone the repository, install dependencies with Poetry, copy the .env.example file, start Docker Compose (PostgreSQL, Redis), run Alembic migrations, and start the Uvicorn server. Detailed steps are provided in the README.

Key features of Slackbot MCP

• Slack integration via Events API
• LLM-powered responses
• MCP tool integration
• Multi-bot management
• Thread-aware conversations
• Channel-specific configurations

Use cases of Slackbot MCP

• Deploying a Slack bot with conversational AI capabilities
• Integrating MCP tools into Slack workflows
• Managing multiple bots across different Slack channels
• Handling context-rich, threaded discussions

FAQ from Slackbot MCP

What are the prerequisites for running Slackbot MCP?

Python 3.9+, Poetry, Docker and Docker Compose, PostgreSQL, and Redis are required.

How do I set up the development environment?

Clone the repository, install dependencies with poetry install, set up pre-commit hooks, copy .env.example, start Docker Compose, run Alembic migrations, and start the Uvicorn server.

What integrations does Slackbot MCP support?

It integrates with Slack's Events API and supports MCP tool integration for LLM-powered responses.

Does Slackbot MCP support multiple bots?

Yes, it has multi-bot management capabilities.

How are conversations handled?

Conversations are thread-aware and can be configured per channel.