"Slack" matching MCP servers:

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 Slack integration with tools to list channels, read messages, and post messages using a bot token.

Multi-workspace Slack MCP server with draft+confirm safety, vault auto-export, and triple-mode auth.

Enables AI assistants to interact with Slack workspaces, providing tools for reading messages, posting content, managing channels, and more.

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.

Provides LLMs full access to Slack: messages, channels, files, canvases, lists, search, reactions, and more via 220 tools and 36 API families.

Enables reading Slack channels, messages, and threads using the web interface via a persistent browser session, designed for guest users without API access. Does not send messages.

Enables bidirectional communication between MCP clients and Slack, allowing users to receive task notifications and respond to AI inquiries directly within Slack threads. It supports various urgency levels, message threading, and interactive question-and-answer workflows.

An MCP server that enables AI agents to send messages, payloads, and Markdown-formatted content to Slack via Incoming Webhooks.

Local MCP stdio bridge to Slack's hosted MCP server, enabling agents to use Slack tools (send messages, search, history, canvas, etc.) via local OAuth and token refresh.

Gives AI agents full Slack access via session tokens, requiring no app registration, admin approval, or OAuth.

Provides secure, read-only access to Slack workspaces, letting MCP clients read channels, messages, users, and file metadata without write permissions.

Enables searching and reading public Slack channels, and sending messages with two-step confirmation.

Enables acting in Slack as yourself through a personal user token, so messages, files, reactions, status changes and searches come from you rather than a bot. Includes read-only and channel-scoped write controls, plus an optional style gate that blocks AI typography and stock phrases before anything is sent.

Enables uploading local files to Slack with a message, supporting channels, DMs, threads, and file titles.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables automatic collection and AI analysis of Slack messages to create organized Notion pages, supporting custom analysis directions like meeting minutes, issue extraction, and topic classification.

Enterprise-grade Slack integration with compliance audit trails for AI agents. Every action is logged locally for governance, regulatory compliance, and security review.