Advertise
MCP.so
Sign In

Slack MCP Server with SSE Transport

@dVelopment

Repository

Basic information

Category

Communication

License

Unlicense license

Transports

stdio

Author

dVelopment

About Slack MCP Server with SSE Transport

Slack MCP Server with SSE transport

Slack MCP Server with SSE Transport config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "slack-mcp-server-sse": {
      "command": "docker",
      "args": [
        "compose",
        "up",
        "--build"
      ]
    }
  }
}

Slack MCP Server with SSE Transport tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Slack MCP Server with SSE Transport?

Slack MCP Server with SSE Transport is a Model Context Protocol (MCP) server that integrates Slack API functionality using Server-Sent Events (SSE) transport instead of stdio. It allows AI assistants to interact with Slack workspaces through a simple HTTP-based interface. The server is built with TypeScript, supports Docker deployment, and works with any MCP client that supports SSE transport.

How to use Slack MCP Server with SSE Transport?

Set environment variables SLACK_BOT_TOKEN (Slack Bot User OAuth Token starting with xoxb-) and SLACK_TEAM_ID (Slack Workspace/Team ID). Build TypeScript code with npm run build and start the server with npm start. Alternatively, deploy with Docker Compose or run a pre-built Docker image. Connect to the SSE endpoint at /sse using an EventSource client.

Key features of Slack MCP Server with SSE Transport

  • Uses SSE transport for HTTP/HTTPS communication
  • Provides access to essential Slack API functionality
  • Includes a simple web UI and health check endpoint
  • Fully containerized with Docker for easy deployment
  • Built with TypeScript for type safety
  • Works with any MCP client supporting SSE transport

Use cases of Slack MCP Server with SSE Transport

  • Enable AI assistants to list and post messages in Slack channels
  • Let AI assistants reply to threads and add reactions
  • Allow AI assistants to retrieve channel history and thread replies
  • Enable AI assistants to list users and fetch user profiles
  • Integrate Slack collaboration into MCP-based agent workflows

Frequently asked questions

1

What is the difference between SSE transport and stdio transport?

SSE transport enables communication over HTTP/HTTPS, making the server accessible over the network rather than requiring a direct subprocess connection.

2

What are the runtime requirements?

Node.js 18 or higher is required. A Slack Bot Token with appropriate scopes and a Slack Team ID are also needed.

3

Where does user data live?

The server itself does not store data; it makes API calls to Slack on behalf of the token. All data resides in the Slack workspace.

4

What transports does the server support?

The server exclusively uses Server-Sent Events (SSE) transport. It exposes an SSE endpoint at `/sse` and does not support stdio.

5

How do I authenticate with Slack?

Provide the `SLACK_BOT_TOKEN` (starting with `xoxb-`) and `SLACK_TEAM_ID` as environment variables. The token must have scopes like `channels:history`, `channels:read`, `chat:write`, `reactions:write`, and `users:read`.

Comments

More Communication MCP servers

Pidgeon

Pidgeon

Email inboxes for AI agents. Give an agent its own address in one call; it sends, receives and replies in threads, waits for a sign-up code and gets it back already extracted, and hands a conversation to a person when it

call4me

Nick Khami

call4me lets your AI agent make real phone calls for you. Ask Claude, ChatGPT, Cursor, Codex or your own app to book a table, schedule a dentist appointment, cancel a subscription or ask a business a question. It calls,

Socialync

Jack Vitick

Draft, schedule, and publish social media posts to 8 platforms from any AI agent: Facebook, Instagram, X, TikTok, YouTube, LinkedIn, Threads, and Bluesky. 19 tools covering drafting, scheduling, publishing, media upload,

Mobile Text Alerts SMS

Mobile Text Alerts

Official Mobile Text Alerts server. Send and schedule SMS, manage subscribers and groups, and complete carrier registration from any MCP-compatible AI assistant.

2pr.io

2pr.io

Write, schedule and publish LinkedIn posts in your own voice, reply to comments and read your analytics, all from your AI assistant. Remote MCP server with OAuth sign-in.

Advertise