Slack

Slack

v0.0.1
MIT
Featured Productivity
slackmessagingcollaborationproductivity

Summary

Read and post to Slack from an AI client — channels, threads, reactions, and user lookup.

Features

  • List channels and read conversation history
  • Post messages and threaded replies
  • Add reactions and look up user profiles

Installation

Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.

Any MCP-compatible agent

Most agents (Claude, Cursor, Windsurf, VS Code, and more) read a standard mcpServers configuration.

  1. Open your agent's MCP configuration file.
  2. Merge the snippet below into it, filling in the environment variables with your own values.
  3. Restart the agent — the "Slack" tools will be available.
{
  "mcpServers": {
    "slack": {
      "command": "npx",
      "args": [
        "-y",
        "@zencoderai/slack-mcp-server"
      ],
      "env": {
        "SLACK_BOT_TOKEN": "xoxb-your-token",
        "SLACK_TEAM_ID": "T01234567"
      }
    }
  }
}

Description

The Slack MCP server, now maintained by Zencoder after being retired from the MCP reference collection, connects an assistant to a Slack workspace.

What it can do

  • List channels the bot has access to
  • Read history from a channel or a thread, which is what makes summarising a long discussion possible
  • Post messages and reply in threads
  • Add reactions
  • Look up users and their profiles

Realistic uses

Summarising what happened in a channel while you were away; pulling the decision out of a forty-message thread; posting a build or deploy notification from an agent workflow; and answering questions about past discussions without scrolling.

Setup and permissions

Requires a Slack bot token with scopes matched to what you want it to do, plus the workspace team ID. Scope it narrowly — a bot with channels:history across an entire workspace is a broader grant than most people intend, and the assistant will read whatever it can reach.

Runs with npx -y @zencoderai/slack-mcp-server.

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