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.
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Highlight AIList public channels in the workspace. Optional inputs: limit (number, default: 100, max: 200) for maximum number of channels to return, cursor (string) for pagination.
Post a new message to a Slack channel. Required inputs: channel_id (string) for the ID of the channel to post to, text (string) for the message text to post.
Reply to a specific message thread. Required inputs: channel_id (string) for the channel containing the thread, thread_ts (string) for the timestamp of the parent message, text (string) for the reply text.
Add an emoji reaction to a message. Required inputs: channel_id (string) for the channel containing the message, timestamp (string) for the message timestamp to react to, reaction (string) for the emoji name without colons.
Get recent messages from a channel. Required inputs: channel_id (string) for the channel ID. Optional inputs: limit (number, default: 10) for the number of messages to retrieve.
Get all replies in a message thread. Required inputs: channel_id (string) for the channel containing the thread, thread_ts (string) for the timestamp of the parent message.
Get list of workspace users with basic profile information. Optional inputs: cursor (string) for pagination, limit (number, default: 100, max: 200) for maximum users to return.
Get detailed profile information for a specific user. Required inputs: user_id (string) for the user's ID.
