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by timescale • Uncategorized
An MCP server providing AI-accessible APIs for Slack data analysis and conversational memory.
Understand conversational context and references to past Slack discussions.
Answer questions about project history and team decisions within Slack.
Follow ongoing conversations and provide relevant, context-aware input.
Tiger Slack MCP Server enables AI assistants to access and analyze Slack workspace data with full conversational context, including message history, threading, and user/channel information. It supports intelligent filtering, message permalink generation, and integrates with a TimescaleDB backend for efficient time-series data storage and querying. This allows AI bots to respond naturally and contextually to team conversations, improving collaboration and knowledge retention.