Full read + write access to Slack Lists for AI: create, update, check off, reassign, delete.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"slack-lists": {
"env": {
"SLACK_BOT_TOKEN": "xoxb-your-bot-token-here"
},
"args": [
"/path/to/slack-lists-mcp-server/src/slack_lists_server.py"
],
"command": "/path/to/your/.venv/bin/python"
}
}
}Are you the author?
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A Model Context Protocol (MCP) server that gives AI assistants full read and write access to Slack Lists.
No automated test available for this server. Check the GitHub README for setup instructions.
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A Model Context Protocol (MCP) server that gives AI assistants full read and write access to Slack Lists.
This server acts as a bridge between AI models and Slack, enabling seamless creation, retrieval, updating, deletion, filtering, and management of Slack List items through a standardized protocol. It empowers AI assistants like Claude Desktop to become powerful productivity tools for managing tasks, projects, and data within Slack.
This project provides a complete package with:
The write paths have been verified against a live Slack workspace (see Verification status).
This MCP server provides a rich set of tools for interacting with Slack Lists:
Follow these steps to get your Slack Lists MCP server up and running.
lists:read and lists:write scopes.lists:readlists:writexoxb-). This is your SLACK_BOT_TOKEN.Clone the repository and install the dependencies:
# Clone the repository
git clone https://github.com/justadityaraj/slack-lists-mcp.git
cd slack-lists-mcp
# Create and activate a virtual environment
python3 -m venv .venv
source .venv/bin/activate
# Install dependencies
pip install -r requirements.txt
Create a .env file by copying the example:
cp .env.example .env
Open the .env file and set your SLACK_BOT_TOKEN:
SLACK_BOT_TOKEN=xoxb-your-bot-token-here
The server lo