What are the prerequisites for running Slackbot MCP?
Python 3.9+, Poetry, Docker and Docker Compose, PostgreSQL, and Redis are required.
@adamkleingit
Basic information
A Slackbot LLM agent that allows connecting to an LLM and MCP servers
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
Python 3.9+, Poetry, Docker and Docker Compose, PostgreSQL, and Redis are required.
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.
It integrates with Slack's Events API and supports MCP tool integration for LLM-powered responses.
Yes, it has multi-bot management capabilities.
Conversations are thread-aware and can be configured per channel.

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