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Slack MCP

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Model Context Protocol server that lets AI copilots list channels, pull message history, send updates, manage membership, and fetch metadata from your Slack workspace using scoped bot tokens.

Pricing

Pay per event

Rating

5.0

(2)

Developer

ParseForge

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Bookmarked

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Monthly active users

3 days ago

Last modified

💬 Slack MCP Server

🚀 Give your AI assistants direct access to Slack. List channels, read message history, post updates, manage memberships, and surface workspace insights via the Model Context Protocol. No human handoffs needed.

The Slack MCP Server bridges MCP-enabled AI copilots with the Slack Web API. It lets agents browse channels, retrieve message history, post replies, manage memberships, and pull workspace metadata, all through a standard MCP interface.

Whether you are an operations leader automating status reporting, a support manager enabling AI-driven ticket triage, or an AI platform owner building copilot experiences, this tool provides secure, auditable Slack access for your AI workflows.

🎯 Target Audience	💡 Primary Use Cases
Operations leaders, support managers, AI automation specialists, platform engineers	AI-driven ticket triage, automated status updates, stakeholder alerts, knowledge-base enrichment, channel management

📋 What the Slack MCP Server does

📋 List channels. Browse public and private channels with pagination support.
🕰️ Read history. Retrieve recent message history for context-aware AI assistance.
💬 Post messages. Send channel replies, threaded updates, or direct messages.
🧑 Manage members. Handle channel memberships and invitations.
🛠️ Channel ops. Create, archive, and document channels with topics or descriptions.
📊 Pull metadata. Fetch team, channel, and user metadata for reporting.

Each MCP response returns structured JSON that your AI assistant can parse and act on immediately.

💡 Why it matters: letting AI agents interact with Slack directly eliminates copy-paste workflows, reduces manual triage, and keeps stakeholders informed in real time.

⚠️ Good to Know: This Actor runs in standby mode. Deploy it once, then POST MCP requests to /mcp?token=YOUR_APIFY_TOKEN. The bot token is passed per-request and is never stored.

🚀 How to use

📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
🤖 Create a Slack bot. Set up a bot with scopes: channels:read, groups:read, chat:write, users:read.
🌐 Deploy in standby. Run the Actor so it listens for MCP requests.
🚀 Send MCP payloads. POST to /mcp?token=YOUR_APIFY_TOKEN with your bot token and method.
📥 Connect your AI. Point your MCP-enabled copilot (Cursor, Claude, custom agent) at the endpoint.

⏱️ Total time: 15 minutes from token creation to first automated Slack reply.

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💡 Browse the complete ParseForge collection.

⚠️ Disclaimer: Independent tool, not affiliated with Slack Technologies, LLC or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.

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