MCP server that reads Slack through your own browser session, authenticating as you rather than a bot. Provides tools to search messages, retrieve channel/DM/thread history, resolve users, and post messages (write disabled by default).
An MCP server for semantic search and retrieval of indexed Slack messages stored in Qdrant using Cohere reranking via AWS Bedrock. It enables users to search through Slack history, retrieve full message threads, and access channel or user statistics through natural language.
Enables reading, searching, and downloading files across multiple Slack workspaces via per-workspace user tokens, plus drafting and confirmed sending of messages and attachments.
Enables an AI assistant to act as the user in Slack through a user OAuth token, covering messaging and threads, search, users, channels, user groups and reactions, plus scheduled messages, canvases and Slack Lists. It also supports flexible channel addressing by ID, #name or @user, and matches existing tool names and parameters for seamless integration with established prompts and permission rules.
The most powerful MCP server for Slack Workspaces. This integration supports both Stdio and SSE transports, proxy settings and does not require any permissions or bots being created or approved by Workspace admins 😏.
Enables comprehensive interaction with Slack workspaces, allowing users to manage channels, send messages, and search history. It supports managing reminders, pins, reactions, and user information through the Model Context Protocol.
Enables structured team communication for Claude Code agents through Slack-like channels and direct messages. Supports project isolation, subscription management, and agent notes for sophisticated multi-agent collaboration workflows.