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agentic-slackbot

@agentika

Repository

About agentic-slackbot

A simple Slack bot that uses the OpenAI Agents SDK to interact with the Model Context Protocol (MCP) server.

Basic information

Category

Reasoning

Runtime

python

Transports

stdio

Publisher

agentika

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "agentic-slackbot": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is agentic-slackbot?

A simple Slack bot that uses the OpenAI Agents SDK to interact with the Model Context Protocol (MCP) server.

How to use agentic-slackbot?

Install dependencies with uv sync, set environment variables (OPENAI_API_KEY, SLACK_BOT_TOKEN, SLACK_APP_TOKEN, etc.), and run the bot with uv run bot. A Docker build command is also provided.

Key features of agentic-slackbot

  • Slack bot using the OpenAI Agents SDK
  • Interacts with an MCP server
  • Supports OpenAI and Azure OpenAI providers
  • Configurable via environment variables
  • Docker deployment option available

Use cases of agentic-slackbot

  • Triggering OpenAI agent behavior from Slack
  • Bringing MCP server interactions into Slack channels
  • Running a containerized Slack bot with custom AI models

FAQ from agentic-slackbot

What dependencies does agentic-slackbot require?

Python and uv are required. Dependencies are installed with uv sync.

How do I run agentic-slackbot?

Set the required environment variables and run uv run bot from the project root.

Can I run agentic-slackbot in Docker?

Yes. Build the image with docker build . -t telegram-bot and run it with the necessary environment variables.

Which OpenAI models are supported?

The default model is gpt-4o, configurable via the OPENAI_MODEL environment variable.

Does agentic-slackbot support Azure OpenAI?

Yes. Set AZURE_OPENAI_API_KEY, AZURE_OPENAI_ENDPOINT, OPENAI_MODEL, and OPENAI_API_VERSION instead of the OpenAI variables.

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