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mcp-chatgpt-slack-bot

Model Context Protocol (MCP) with ChatGPT and Slack — A productivity bot that summarizes channel messages, detects sentiment, and saves time.

Links

Repository

README

From the repo.

Slack + ChatGPT Summary Bot using MCP

This step-by-step guide (with complete code) walks you through building a Slack bot that connects to ChatGPT via an MCP server. The bot can summarize hundreds of messages in any Slack channel it's added to. It also detects the dominant emotional tone and provides the total number of messages sent.

MCP Flow Diagram

✨ Features

  • 🔗 Connects Slack to ChatGPT using an MCP server.
  • 🧠 Summarizes messages with context awareness.
  • 😃 Notes the dominant emotional tone.
  • 🧮 Counts total messages sent in the channel.
  • 🔁 Runs on a customizable interval.

🧰 What is MCP?

MCP (Model Context Protocol) is an open protocol by Anthropic designed for easy integration between tools, external data sources, and even multiple LLMs.
Think of MCP as a universal travel power adapter — it lets you plug into any context stream or platform effortlessly.

📦 Setup Instructions

1. Clone the Repository

git clone git@github.com:ORC-1/mcp-chatgpt-slack-bot.git

2. Create Virtual Environment

virtualenv env --python=python3.11
source env/bin/activate

3. Install Dependencies

pip install -r requirements.txt

4. Create a Slack Bot

Follow the steps in this guide to get your SLACK_BOT_TOKEN:
👉 Slack Bot Setup Instructions

✅ Once Setup is Complete

Make sure you have the following ready:

  • ✅ client.py created
  • ✅ Slack bot created and installed in your workspace
  • ✅ MCP server running

▶️ Run the Bot

To start the bot and summarize messages every 600 minutes:

python client.py 600

You can replace 600 with any number of minutes you'd prefer the bot to wait before performing the next summary.

Demo

💡 Notes

  • Ensure your bot has permission to read messages in the channels it's added to.
  • Summaries are context-aware and capture emotional sentiment trends over time.

Collected info

  • ★ 5 stars
  • ⎇ 1 forks
  • Language: Python
  • Source updated: 9/30/2025

Config for your environment

Replace {MCP_ENDPOINT_URL} with this MCP’s endpoint URL (from its repo or docs above). No API key — you connect directly.

Tool

OS

Config file: ~/.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "{MCP_ENDPOINT_URL}"
    }
  }
}

Paste into mcpServers in the config file. Restart Cursor after saving.

If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.