Slack MCP Server is an open-source server implementation that connects Slack workspaces to AI systems through the Model Context Protocol (MCP). MCP is a standardized protocol that allows large language models and AI agents to securely interact with external tools and data sources such as messaging platforms, databases, or file systems. The slack-mcp-server acts as an intermediary layer that exposes Slack data and messaging functionality to AI clients while enforcing access rules and communication standards. Through this architecture, AI assistants can read message histories, interact with channels, and retrieve contextual information from Slack conversations in order to perform tasks such as automated analysis, collaboration assistance, or contextual code review. The server supports multiple communication transports, including standard input/output streams, HTTP, and Server-Sent Events, allowing flexible integration with different AI client environments.
Features
- MCP server enabling AI agents to interact with Slack workspaces
- Support for multiple transports including Stdio, HTTP, and Server-Sent Events
- Access to Slack channels, direct messages, and group conversations
- Smart history retrieval using date-based or count-based message queries
- Proxy and authentication options including OAuth and minimal-permission modes
- Integration with AI clients and developer tools that support Model Context Protocol