Slack MCP SERVER

🚀 Slack AI MCP Server

The Slack AI MCP Server connects AI assistants and automation systems directly to Slack workspaces using the Model Context Protocol (MCP). This Actor enables AI models to read, send, and analyze Slack messages, manage channels, and interact with workspace data — all through standardized MCP interfaces.

It bridges Slack’s API with Apify’s automation ecosystem, allowing you to build intelligent ChatOps workflows, AI assistants, and conversational agents that can operate securely inside your organization’s Slack.

🧠 Key Features

✅ Real-time Slack interaction Read and send messages, react with emojis, and reply in threads directly through MCP tools.

✅ Comprehensive workspace access List channels, view user profiles, read message history, and search workspace conversations.

✅ Automated AI workflows Trigger actions based on keyword detection or message patterns (e.g., respond to “deploy” automatically).

✅ Secure authentication Authenticate with your Slack workspace using a Bot User OAuth Token (xoxb-...), securely stored locally or via environment variables.

✅ Standardized MCP protocol Integrates with Claude Desktop, LangGraph, and other AI orchestration platforms for seamless AI ↔ Slack connectivity.

✅ Scalable multi-channel architecture Supports multiple concurrent AI agents across many Slack channels.

🧩 Tools Exposed by MCP Server

Tool	Description
slack_auth_prompt	Guides user to create a Slack app and obtain the Bot User OAuth Token.
save_slack_bot_token(bot_token)	Stores and activates a Slack Bot Token (xoxb-...).
slack_status	Checks if the saved token is valid and displays bot identity info.
list_channels(limit, types)	Lists all public/private channels the bot can access.
create_channel(name, is_private)	Creates a new Slack channel.
invite_user(channel_id, user_id)	Invites a user into a channel by ID.
post_message(channel_id, text, thread_ts)	Sends or replies to a message in a channel.
add_reaction(channel_id, timestamp, emoji)	Adds an emoji reaction to a message.
read_channel_history(channel_id, limit, oldest)	Fetches recent messages from a channel.
search_messages(query, count)	Searches across workspace messages.
get_user_profile(user_id)	Returns profile info for a user.
detect_and_reply(channel_id, keyword, reply_text)	Scans messages and replies to any containing a specific keyword.

⚙️ MCP Configuration

MCP SERVER URL

https://bhansalisoft--slack-mcp-server.apify.actor/mcp

To connect this Actor to Claude Desktop or any MCP client, add to your config:

{
    "mcpServers": {
        "slack-mcp-server": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://bhansalisoft--slack-mcp-server.apify.actor/mcp?token=[Your APIFY KEY]"
            ],
"env": {
           "SLACK_BOT_TOKEN": "[Your Slack Token]"
         }
        }
    }
}

Replace your [Your APIFY KEY] and [Your Slack Token]

Once connected, you’ll see all Slack MCP tools automatically listed in your client.

🔑 How to Get Slack Bot Token

• 1 Go to https://api.slack.com/apps
• 2 Create a new app → “From Scratch”
• 3 Under OAuth & Permissions, add these Bot Token Scopes:

• chat:write
• channels:read, channels:history
• groups:read, im:read, users:read
• reactions:write, search:read

• 4 Click Install to Workspace and Authorize
• 5 Copy the Bot User OAuth Token (xoxb-...)
• 6 Paste it in your Apify Actor input or call:

Demo video for Slack MCP Server