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Chisanan232
by Chisanan232

Overview

🦾 A strong MCP (Model Context Protocol) server for Slack integration, providing standardized access to Slack's API features through both MCP tools and webhook processing.

Key Features:

  • 🤖 MCP Server: Provides 6 essential Slack tools for AI assistants and clients

  • 🪝 Webhook Server: Processes real-time Slack events with secure verification

  • 🔗 Integrated Mode: Combined MCP + webhook server for complete Slack platform integration

  • 🚀 Multiple Transports: Supports stdio, SSE, HTTP streaming, and Socket Mode protocols

  • 📦 Easy Deployment: Docker, Kubernetes, and cloud platform ready

  • 🔌 Socket Mode: WebSocket-based transport for environments without public HTTP endpoints

Use Cases:

  • Building AI assistants with Slack integration

  • Creating custom automation tools for Slack workflows

  • Developing real-time Slack applications with event processing

  • Integrating Slack with other tools and platforms

Related MCP server: Slack MCP Server

Python versions support

Supported Versions

slack-mcp-server supports Python 3.12+ for optimal performance and modern language features.

Quickly Start

Installation

Choose your preferred installation method:

Using pip

# Minimal base (protocol only)
pip install slack-mcp

# MCP server feature set
pip install "slack-mcp[mcp]"

# Webhook server feature set
pip install "slack-mcp[webhook]"

# Everything
pip install "slack-mcp[all]"
# Minimal base
uv add slack-mcp

# MCP server / Webhook / All
uv add "slack-mcp[mcp]"
uv add "slack-mcp[webhook]"
uv add "slack-mcp[all]"

Using poetry

# Minimal base
poetry add slack-mcp

# MCP server / Webhook / All
poetry add slack-mcp -E mcp
poetry add slack-mcp -E webhook
poetry add slack-mcp -E all

Note: Installation extras

  • [mcp]: Installs the MCP server feature set (SSE/Streamable transports; not the integrated webhook mode)

  • [webhook]: Installs FastAPI/Uvicorn and related parts for Slack webhook handling (not the integrated mode)

  • [all]: Installs everything in this project

  • Base (no extra): Minimal install with only the base protocol rules of this project

Basic Usage

1. Set Up Environment Variables

For Production/Development:

# Copy the production environment template
cp .env.example .env

# Edit with your actual values
# Required: Slack bot token
export SLACK_BOT_TOKEN="xoxb-your-bot-token-here"

# Optional: For webhook server
export SLACK_SIGNING_SECRET="your-signing-secret"

# Optional: For Socket Mode transport
export SLACK_APP_TOKEN="xapp-your-app-token-here"

For Testing:

# Copy the test environment template
cp test/.env.test.example test/.env.test

# Edit with your test values (used by pytest)
# Required: E2E test token
export E2E_TEST_API_TOKEN="xoxb-your-test-token"

2. Start MCP Server (Standalone)

# Start with stdio transport (default)
slack-mcp-server

# Start with SSE transport for web clients
slack-mcp-server --transport sse --host 0.0.0.0 --port 3001

# Start with Socket Mode transport for WebSocket connections
slack-mcp-server --transport socket-mode --app-token xapp-your-app-token

3. Start Webhook Server (Standalone)

# Start standalone webhook server
slack-webhook-server --host 0.0.0.0 --port 3000

4. Start Integrated Server (MCP + Webhook)

# Combined server with both MCP and webhook functionality
slack-mcp-server --integrated --transport sse --port 8000

Available MCP Tools

Tool

Description

Usage

slack_post_message

Send messages to channels

Post notifications, updates

slack_read_channel_messages

Read channel message history

Analyze conversations

slack_read_thread_messages

Read thread replies

Follow discussions

slack_thread_reply

Reply to message threads

Engage in conversations

slack_read_emojis

Get workspace emojis

Access custom reactions

slack_add_reactions

Add emoji reactions

React to messages

Docker Quick Start

# Pull and run with environment variables
docker run -p 3000:3000 \
  -e SLACK_BOT_TOKEN="xoxb-your-token" \
  -e SLACK_SIGNING_SECRET="your-secret" \
  chisanan232/slack-mcp-server:latest

Socket Mode Transport

Socket Mode is a WebSocket-based transport that allows the Slack MCP server to communicate with Slack without requiring public HTTP endpoints. This is particularly useful for:

  • Applications behind firewalls or NAT

  • Environments without public internet access

  • Enhanced security through WebSocket tunneling

  • Development and testing without public infrastructure

Setup Requirements:

  1. Enable Socket Mode in your Slack App:

    • Go to https://api.slack.com/apps → Your App → Basic Information

    • Enable Socket Mode

    • Create an App-Level Token with connections:write scope

  2. Configure Environment Variables:

# Required for Socket Mode
export SLACK_BOT_TOKEN="xoxb-your-bot-token-here"
export SLACK_APP_TOKEN="xapp-your-app-token-here"

Usage Examples:

# Start with Socket Mode transport
slack-mcp-server --transport socket-mode --app-token xapp-your-app-token

# Socket Mode with app token from environment variable
export SLACK_APP_TOKEN="xapp-your-app-token"
slack-mcp-server --transport socket-mode

Important Notes:

  • Socket Mode is a standalone transport and cannot be used with integrated mode

  • The app token must start with xapp- prefix

  • Socket Mode uses WebSocket connections directly to Slack's servers

  • No public HTTP endpoints or webhooks are required

  • Automatic reconnection with exponential backoff is built-in

Documentation

Comprehensive documentation is available at https://chisanan232.github.io/slack-mcp-server/

Documentation Sections

Coding style and following rules

slack-mcp-server follows coding styles black and PyLint to control code quality, with additional tools for comprehensive code analysis.

Code style: black linting: pylint Imports: isort Type Checking: mypy

Code Quality Tools

  • Black: Consistent code formatting

  • PyLint: Code analysis and style checking

  • MyPy: Static type checking

  • isort: Import sorting and organization

  • Pre-commit: Automated code quality checks

Development Workflow

# Install development dependencies
uv sync --dev

# Run code quality checks
uv run pre-commit run --all-files

# Run tests
uv run pytest

Downloading state

Current download statistics for slack-mcp package:

Downloads Downloads Downloads

Container Downloads

Docker Pulls

Contributing

We welcome contributions! Please see our Contributing Guide for details.

Quick Contribution Steps

  1. Report Issues - Found a bug? Let us know!

  2. Request Features - Have ideas? We'd love to hear them!

  3. Join Discussions - Connect with the community

  4. Development Setup - Start contributing code

Extend with Custom Queue Backend Plugins

Want to add support for additional message queue systems? Create custom queue backend plugins using our template:

Slack MCP Server Backend MQ Template - Quick-start template for developing queue backend plugins

  • Complete project structure with best practices

  • Pre-configured CI/CD workflows

  • Comprehensive documentation

📚 Documentation: https://chisanan232.github.io/Slack-MCP-Server-Backend-MQ-Template/

License

MIT License

A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
2moRelease cycle
4Releases (12mo)
Commit activity

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