Slack MCP Server
About
A popular community Slack MCP server that lets AI agents read and write Slack workspaces — send/receive messages, pull channel and DM history, search conversations, with stdio/SSE transports and proxy support, notably able to connect without admin-approved app permissions.
Our Verdict
Slack MCP Server brings communication capabilities to the MCP ecosystem. Its GitHub popularity reflects community trust, and the standardized protocol ensures broad compatibility across AI clients.
Pricing
Use Cases
- Integrating communication capabilities into AI agent workflows
- Building custom AI-powered tools with Slack MCP Server
- Enhancing AI agent functionality with standardized MCP access
Pros
- Slack MCP Server provides standardized MCP protocol access
- Open source with 1,763 GitHub stars
- Active development and community support
Cons
- Requires MCP-compatible client (Claude, Cursor, etc.)
- Setup complexity varies by client
- Some features may depend on client capabilities
Installation
npx -y slack-mcp-server@latestFrequently Asked Questions
Does Slack MCP need an admin-approved app?
That is its selling point: it can connect using browser session tokens and similar, without installing an admin-approved Slack app in the workspace or requesting many scopes, keeping the barrier low for individuals. That said, follow your organization's Slack usage policy and security rules.
Is it an official product? Is it stable?
It is a community-maintained open-source project (not by Slack), written in Go, with active stars and iteration, and one of the most full-featured Slack MCPs today. For production use, evaluate the permission scope and compliance requirements and pin a version.
What typical tasks can Slack MCP do?
It lets an agent summarize unread channels, search past discussions for conclusions, turn a thread into to-dos, or send/reply messages on command. Combined with calendar and task tools, you can build a "read chat → distill action items → act across tools" automation.