Slack MCP Server Sse
A Slack MCP server based on SSE transport, providing Slack API integration functionality and supporting interaction with Slack workspaces through an HTTP interface.
rating : 2 points
downloads : 24
What is the Slack MCP Server?
The Slack MCP Server is a middleware service that allows AI assistants to interact with Slack workspaces through a simple HTTP interface. It uses the Model Context Protocol (MCP) standard and implements real-time communication through Server-Sent Events (SSE) technology.How to use the Slack MCP Server?
You can quickly deploy this service through a Docker container or run it directly in a Node.js environment. After deployment, AI assistants can connect to the server through the SSE endpoint and use the provided Slack API tools to interact with Slack.Use cases
Suitable for scenarios where AI assistants need to be integrated into Slack workflows, such as automatically replying to messages, monitoring channel activities, and managing user interactions. Particularly suitable for customer service robots, team collaboration assistants, and automated workflows.Main features
SSE Transport ProtocolUse Server-Sent Events (SSE) instead of traditional stdio communication to support real-time data transmission over HTTP/HTTPS.
Slack API IntegrationProvide complete Slack API functionality, including sending messages, managing channels, and handling user interactions.
Web InterfaceInclude a basic Web UI and health check endpoints for easy monitoring of the service status.
Docker SupportProvide a complete Docker containerized deployment solution to simplify the installation and running process.
Advantages and limitations
Advantages
Lightweight and easy to deploy
Support real-time communication
Provide complete Slack API functionality
Cross-platform compatibility
Limitations
Require a valid Slack Bot Token and Team ID
SSE connections may be restricted in some network environments
Only support Slack platform integration
How to use
Get Slack credentials
Create a Slack application and obtain the Bot Token and Team ID.
Set environment variables
Create a.env file and configure SLACK_BOT_TOKEN and SLACK_TEAM_ID.
Start the server
Start the server using npm or Docker.
Connect the client
Connect the AI assistant through the SSE endpoint (/sse).
Usage examples
Automatically reply to channel messagesWhen a user asks a question in a specific channel, the AI assistant automatically replies with an answer.
Channel activity monitoringMonitor the activities of a specified channel and send a summary report.
Frequently Asked Questions
How to get a Slack Bot Token?
What Slack API features does the server support?
Will the SSE connection automatically reconnect after being disconnected?
Can multiple Slack workspaces be connected simultaneously?
Related resources
Slack API Documentation
Official Slack API reference documentation
SSE Technical Specification
Server-Sent Events technical specification
GitHub Repository
Project source code and issue tracking
Docker Installation Guide
Official Docker installation documentation
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