tiger-slack
Active·★ 47·Apache-2.0·Updated 2026-05-21
★ Trending★ Memory & Context★ API Integration
Real-time Slack ingest and MCP server to power your agentic Slack bots
Tiger Slack enhances AI Slack bots with conversational memory by providing real-time access to Slack message history and context. This enables AI assistants to understand and engage with team discussions naturally, responding to questions with human-like contextual awareness.
#AI Bots#Slack Integration#Conversational Memory#TimescaleDB#Contextual AI#Real-time Data#MCP Server#LLM Integration
01
Features
01Understand conversational context and past discussions.
02Answer questions about project history and decisions.
03Build conversational memory across all team channels.
04Real-time Slack message and event ingestion.
05Provide AI-accessible APIs for Slack data analysis.
02
Compatibility
Python
Runtime
Verified via docs
TypeScript
Runtime
Verified via docs
TimescaleDB
Database
Verified via docs
Docker
Containerization
Verified via docs
Slack
Integration Platform
Verified via docs
03
Quick start
1
$ git clone --recurse-submodules [email protected]:timescale/tiger-slack.git
2
$ cd tiger-slack
3
$ cp .env.sample .env
4
$ ./setup-tiger-slack.sh
5
$ docker compose up -d --build
04
Use cases
↳Improve AI bot responses by leveraging full conversational history.
↳Enable AI assistants to answer questions about project history and decisions.
↳Transform Slack workspaces into intelligent knowledge bases for AI analytics.
↳Monitor and understand team dynamics and participant involvement in discussions.
05
Alternatives
Brave Search MCP★ 86.5k
Allow your AI Agent to search the real-time internet using Brave Search API. Essential for getting up-to-date information.
Claude Flow★ 56.4k
The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms.
Related searches
Comments
Log in to leave a comment
- PPhoenix NguyenMay 23, 2026
Real-time Slack ingestion with MCP server powers genuine conversational Slack bots
- Scout ChenMay 10, 2026
Used for building an agentic Slack assistant, the real-time ingest is reliable
- RRebel HarrisApr 2, 2026
Good for teams that want AI assistance directly in Slack without external integrations
- SSpencer RiveraFeb 27, 2026
The TimescaleDB foundation means time-series queries over Slack history are fast