Slack Integration
STDIOMCP server implementation for integrating AI assistants with Slack workspaces.
MCP server implementation for integrating AI assistants with Slack workspaces.
A Model Context Protocol (MCP) server implementation for integrating AI assistants with Slack workspaces.
This package provides an MCP server that enables AI assistants to interact with Slack workspaces. It allows AI models to:
# Install from npm npm install shouting-mcp-slack # Or install globally npm install -g shouting-mcp-slack
You can find the package on npm: shouting-mcp-slack
You need to set up a Slack Bot and obtain the necessary credentials:
channels:history
channels:read
chat:write
reactions:write
users:read
users:read.email
The server requires the following environment variables:
SLACK_BOT_TOKEN
: Your Slack Bot User OAuth TokenSLACK_TEAM_ID
: Your Slack Team ID# Set environment variables export SLACK_BOT_TOKEN=xoxb-your-token export SLACK_TEAM_ID=your-team-id # Run the server mcp-server-slack
import { Server } from "@modelcontextprotocol/sdk/server/index.js"; import { SlackClient } from "shouting-mcp-slack"; // Initialize the server and client const server = new Server({...}); const slackClient = new SlackClient(process.env.SLACK_BOT_TOKEN); // Register your custom handlers // ...
The server provides the following Slack integration tools:
slack_list_channels
: List available channelsslack_post_message
: Send a message to a channelslack_reply_to_thread
: Reply to a threadslack_add_reaction
: Add a reaction to a messageslack_get_channel_history
: Get message history from a channelslack_get_thread_replies
: Get replies in a threadslack_get_users
: List users in the workspaceslack_get_user_profile
: Get a user's profileISC