🚀 Slack MCP Server

🤖 Empower your AI assistants with direct, secure access to your Slack workspace. The Slack MCP Server lets Model Context Protocol (MCP) compatible agents browse channels, read message history, post updates, manage membership, and surface workspace insights without human handoffs.

Target Audience: Operations leaders, customer experience teams, AI automation specialists, internal support managers Primary Use Cases: AI-powered ticket triage, automated status reporting, real-time stakeholder alerts, knowledge-base enrichment

What Does Slack MCP Server Do?

This tool bridges MCP-enabled copilots with the Slack Web API so they can:

• 📋 List public and private channels with pagination support
• 🕰️ Retrieve recent message history for context-aware assistance
• 💬 Post channel replies, threaded updates, or direct messages
• 🧑‍🤝‍🧑 Manage channel memberships and invitations
• 🛠️ Create, archive, and document channels with topics or descriptions
• 📊 Pull team, channel, and user metadata for reporting

Business Value: Keep stakeholders informed, reduce manual triage, and let AI summarize conversations or trigger actions based on real-time Slack activity.

How to use the Slack MCP Server - Full Demo

Watch the 2-minute walkthrough (demo video coming soon)

Input

To operate the Slack MCP Server, deploy the actor in standby mode and provide credentials inside each MCP request body. The Actor input itself remains empty—everything lives in the MCP payload your orchestrator sends to /mcp.

• slackBotToken – Bot token with the required Slack scopes (e.g., xoxb-...)
• defaultChannelId – Optional fallback channel for writes when the tool call omits one
• method – MCP method (e.g., initialize, tools/list, tools/call, resources/list, resources/read)
• params – Payload for the chosen MCP method (tool arguments, pagination cursors, etc.)

Here’s what the initialize payload looks like:

{
  "method": "initialize",
  "slackBotToken": "xoxb-your-token",
  "defaultChannelId": "C012ABCDEF"
}

Output

Every MCP response returns JSON content you can forward to your assistant. For example, a tools/list call responds with all available Slack automation tools:

{
  "tools": [
    {
      "name": "list_channels",
      "description": "List channels in the Slack workspace",
      "inputSchema": {
        "type": "object",
        "properties": {
          "types": { "type": "string" },
          "limit": { "type": "integer" }
        }
      }
    },
    {
      "name": "post_message",
      "description": "Send a message to a Slack channel or thread"
    }
  ]
}

What You Get: Channel lists, user rosters, message history, DM handles, workspace metadata, and confirmation receipts for every write action. Download Options: Retrieve MCP responses programmatically or archive them as JSON for audits.

Why Choose the Slack MCP Server?

• ⏱️ Automate status updates: Trigger instant channel summaries, stand-ups, or stakeholder alerts
• 🛟 Close support loops faster: Let AI triage, respond, and escalate directly inside Slack
• 🔐 Stay enterprise-ready: Scoped Slack tokens, per-action charging, and detailed logging
• 📈 Gain visibility: Capture member rosters and channel footprints for reporting dashboards
• 🤝 Enhance collaboration: Keep humans informed while AI handles repetitive messaging

Time Savings: Replace manual copy/paste and switch-tasking with one-click AI automations. Efficiency: Confidence that every AI action is logged, billed per event, and auditable.

How to Use

1. Sign Up: Create a free account w/ $5 credit (takes 2 minutes)
2. Deploy in Standby: Run the actor so it listens for MCP requests (Apify Webhook or external orchestrator)
3. Configure Slack Bot: Grant the bot token scopes such as channels:read, chat:write, users:read
4. Send MCP Payloads: POST to /mcp?token=YOUR_APIFY_TOKEN with Slack credentials and method details
5. Review Logs: Monitor emoji-rich logs for progress, errors, and billing events
6. Integrate with Assistants: Connect your MCP-enabled AI (Cursor, Claude, custom agent) to trigger Slack workflows

Total Time: From token creation to first automated Slack reply in under 15 minutes. No Technical Skills Required: Copy the sample payloads, paste your token, and you’re live.

Business Use Cases

Customer Support Pods:

• Resolve tickets faster with AI that reads the last 200 messages
• Escalate tricky threads while logging next steps automatically
• Keep managers in the loop with AI-generated daily digests

Revenue & Account Teams:

• Summarize renewal risks unfolding in private channels
• Route hot opportunities into CRM follow-ups instantly
• Notify executives when strategic accounts need attention

Internal Operations:

• Spin up project channels with descriptions and member lists
• Broadcast policy updates across key teams at once
• Archive completed initiatives while preserving message history

AI Platform Owners:

• Provide copilots with real-time collaboration context
• Monitor tool usage, channel access, and billing per event
• Experiment with new automations without writing additional code

Using Slack MCP Server with the Apify API

For advanced automations, orchestrate the MCP calls directly via the Apify API. You can schedule requests, integrate with external systems, or trigger Slack workflows from Make, Zapier, or custom scripts.

• Node.js / Bun: Use the apify-client library to call the actor’s webhook endpoint
• Python: Control runs programmatically with the official Apify Python client
• Docs: Review the Apify API reference for authentication, webhooks, and scheduling

Frequently Asked Questions

Q: Does the actor store my Slack token? A: No. Provide the token inside each MCP request. The server uses it only for that request and relies on Apify’s secure execution environment.

Q: Which Slack scopes are required? A: At minimum, channels:read, groups:read, im:read, mpim:read, chat:write, users:read. Add channels:manage if you plan to create or archive channels.

Q: Can I limit what channels the AI touches? A: Yes. Scope your bot token to selected channels or use the defaultChannelId to restrict where posts can occur by default.

Q: How are events billed? A: Pay-per-event pricing charges only when a tool or resource call succeeds (tool-call, tool-list, resource-read, resource-list).

Q: What happens if Slack rate limits the bot? A: The server surfaces friendly warnings in the logs and retries according to Slack’s recommended back-off strategy.

Integrate Slack MCP Server with any app and automate your workflow

Last but not least, Slack MCP Server connects seamlessly with Apify platform integrations:

• Make
• Zapier
• Slack
• Airbyte
• GitHub
• Google Drive
• and much more

Alternatively, configure webhooks to notify your operations hub whenever the Slack MCP Server completes a task.

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Pro Tip: 💡 Browse our complete collection of data collection actors to find the perfect tool for your business needs.

Need Help?

Our support team is ready to help you automate Slack workflows with MCP. Reach out via Apify chat or email support@parseforge.com for onboarding assistance.

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⚠️ Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Slack Technologies, LLC or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.