This MCP server, developed by Lars Hagen, enables AI agents to interact with Slack workspaces as users. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides tools for channel management, messaging, reactions, and user profile retrieval. The implementation focuses on user-level interactions, offering functionality like thread replies and emoji reactions. It's particularly useful for AI assistants or automation systems needing to engage in Slack conversations, enabling use cases such as automated responses, channel monitoring, or user analytics without requiring bot-specific permissions.
List public channels in the workspace. Optional inputs: limit (number, default: 100, max: 200), cursor (string). Returns a list of channels with their IDs and information.
Post a new message to a Slack channel. Required inputs: channel_id (string), text (string). Returns message posting confirmation and timestamp.
Reply to a specific message thread. Required inputs: channel_id (string), thread_ts (string), text (string). Returns reply confirmation and timestamp.
Add an emoji reaction to a message. Required inputs: channel_id (string), timestamp (string), reaction (string). Returns reaction confirmation.
Get recent messages from a channel. Required inputs: channel_id (string). Optional inputs: limit (number, default: 10). Returns a list of messages with their content and metadata.
Get all replies in a message thread. Required inputs: channel_id (string), thread_ts (string). Returns a list of replies with their content and metadata.
Get list of workspace users with basic profile information. Optional inputs: cursor (string), limit (number, default: 100, max: 200). Returns a list of users with their basic profiles.
Get detailed profile information for a specific user. Required inputs: user_id (string). Returns detailed user profile information.
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