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Slack MCP Client — Run Claude with MCP directly in Slack

Runbear is the first Slack MCP Client, letting your team use Claude with MCP in Slack—no setup or installation needed.

Are you looking to bring Model Context Protocol (MCP) power to your Slack workspace? Runbear is the first-ever MCP client for Slack, allowing you to harness Claude's intelligence directly where your team collaborates. No coding required!

What is MCP and Why You Need a Slack MCP Client

Model Context Protocol (MCP) transforms AI assistants from simple conversational tools into powerful agents that can take action. With a proper MCP client in Slack, you can:

  • Access external data sources and services
  • Connect to workplace tools seamlessly
  • Complete tasks independently
  • Deliver information directly to your team

Introducing Runbear: The Ultimate Slack MCP Client

Runbear seamlessly connects Claude with Slack through MCP, bringing AI automation directly to your team without requiring local installations. Unlike other MCP clients, everyone gets immediate access to powerful AI capabilities within your existing Slack workspace.

Real-World Slack MCP Client Use Cases

Calendar Management Made Simple

Your Slack MCP client can instantly find available meeting slots across team calendars, eliminating scheduling headaches.

Email Summaries in Seconds

Ask your AI assistant to analyze long email threads and deliver concise summaries right in your Slack channel.

Simple Steps to Set Up Your Slack MCP Client

  1. Create your Runbear account: Sign up and click "Create Assistant," then select "Build from scratch".
  2. Choose Claude as your AI model: Select "Anthropic Claude" and customize your system instructions.
  3. Connect MCP servers: Add services to extend your AI agent's capabilities. Without leaving Runbear, you can connect 2,500+ MCP servers, such as Gmail, Google Calendar, and more.
  4. Connect it to Slack: Connect your agent to your Slack workspace with a few clicks, and enjoy!

Connecting accounts to AI agents

There are two ways to connect service accounts to your AI agent's MCP servers: shared and individual authorization.

Option A: Individual authorization

Each Slack user connects their own account. When a user requests something that requires authorization, the Slack bot will prompt them with a secure link to connect.

No worries — connected accounts are private and accessible only to the individual user.

Option B: Shared authorization

Connect a shared account that your AI agents can use to answer questions and complete tasks.

With this setup, users won't need to authorize access individually — the AI agents will handle requests using the shared connection.

Transform Your Slack Workspace with an MCP Client Today

Runbear makes powerful AI automation accessible to everyone on your team through Slack. Start free now and experience how a properly configured MCP client can revolutionize your workflow.