agentic-slackbot
@agentika
关于 agentic-slackbot
A simple Slack bot that uses the OpenAI Agents SDK to interact with the Model Context Protocol (MCP) server.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"agentic-slackbot": {
"command": "uv",
"args": [
"sync"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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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