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Agentic Slackbot MCP Server

@agentika

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基本情報

カテゴリ

推論

トランスポート

stdio

作者

agentika

Agentic Slackbot MCP Server について

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

Agentic Slackbot MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Agentic Slackbot MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

1

What dependencies does agentic-slackbot require?

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

2

How do I run agentic-slackbot?

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

3

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.

4

Which OpenAI models are supported?

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

5

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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