How to Install Slack MCP Server in OpenAI Agents SDK
Read messages, search conversations, and post to Slack channels from your AI agent
What Slack MCP Server does
The most capable Slack integration for MCP — connect your AI agent to your Slack workspace to read conversations, search messages, post updates, and manage channels. Features: - Read channel history and thread messages - Search across all messages in your workspace - Post messages and reply to threads - List channels, members, and workspace info - DM users directly from your agent - Fetch file attachments and shared content - Rate limiting and pagination handled automatically This community-maintained server (1,500+ GitHub stars) is trusted by engineering teams who want their AI agent to stay in sync with Slack conversations, summarize threads, and post automated updates. Requirements: - Slack Bot Token (xoxb-...) with appropriate scopes: channels:history, channels:read, chat:write, users:read - Slack Team ID
Installation steps
- 1Install: pip install openai-agents
- 2Copy the snippet below into your agent code
- 3Replace placeholder env values with your real keys
- 4Pass mcp_servers=[mcp_server] to your Agent()
Python snippet
from agents import Agent
from agents.mcp import MCPServerStdio
mcp_server = MCPServerStdio(
command="npx",
args=["-y", "@korotovsky/slack-mcp-server"],
env={
"SLACK_BOT_TOKEN": "xoxb-xxxxxxxxxxxx",
"SLACK_TEAM_ID": "T0XXXXXXXX",
},
)
agent = Agent(
name="My Agent",
model="gpt-4o",
mcp_servers=[mcp_server],
)Install in other clients
For maintainers
If you maintain Slack MCP Server, add this badge to your README to show it's verified on CuratedMCP:
[](https://curatedmcp.com/marketplace/slack-mcp-server)