pipedream_slack.py
"""
Pipedream Slack MCP
This example shows how to use Pipedream MCP servers (in this case the Slack one) with Agno Agents.
1. Connect your Pipedream and Slack accounts: https://mcp.pipedream.com/app/slack
2. Get your Pipedream MCP server url: https://mcp.pipedream.com/app/slack
3. Set the MCP_SERVER_URL environment variable to the MCP server url you got above
4. Install dependencies: uv pip install agno mcp
"""
import asyncio
import os
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.mcp import MCPTools
from agno.utils.log import log_exception
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
mcp_server_url = os.getenv("MCP_SERVER_URL")
async def run_agent(task: str) -> None:
try:
async with MCPTools(
url=mcp_server_url, transport="sse", timeout_seconds=20
) as mcp:
agent = Agent(
model=OpenAIChat(id="gpt-5.2"),
tools=[mcp],
markdown=True,
)
await agent.aprint_response(input=task, stream=True)
except Exception as e:
log_exception(f"Unexpected error: {e}")
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
# The agent can read channels, users, messages, etc.
asyncio.run(run_agent("Show me the latest message in the channel #general"))
# Use your real Slack name for this one to work!
asyncio.run(
run_agent("Send a message to <YOUR_NAME> saying 'Hello, I'm your Agno Agent!'")
)
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U "agno[mcp]" openai
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
pipedream_slack.py, then run:python pipedream_slack.py