slack-mcp 0.0.1

🦾 A strong MCP server for Slack.

Slack MCP Server

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

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

Python versions support

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

Quickly Start

Installation

Choose your preferred installation method:

# Using pip (recommended)
pip install slack-mcp

# Using uv (fast)
uv add slack-mcp

# Using poetry (development)
poetry add slack-mcp

Basic Usage

1. Set Up Environment Variables

# Required: Slack bot token
export SLACK_BOT_TOKEN="xoxb-your-bot-token-here"

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

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

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

Documentation

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

Documentation Sections

• 📖 User Guide - Installation, configuration, and usage
• 🛠️ Developer Guide - Contributing, architecture, and development workflow
• 🏗️ API Reference - Complete CLI and configuration reference
• 🚀 Deployment Guide - Production deployment patterns

Quick Links

• Requirements
• Installation Guide
• Server Modes
• Environment Configuration
• CI/CD Workflows

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 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:

Container Downloads

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

License

MIT License