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.
暂无评论. 成为第一个评论的人！
登录以参与讨论
List public channels in the workspace. Optional inputs: limit (number, default: 100, max: 200) for maximum 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, text (string) for the message text.
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 message timestamp to react to, reaction (string) for emoji name without colons.
Get recent messages from a channel. Required input: channel_id (string) for the channel ID. Optional input: limit (number, default: 10) for 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 input: user_id (string) for the user's ID.
