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"""
 Pipedream LinkedIn MCP

This example shows how to use Pipedream MCP servers (in this case the LinkedIn one) with Agno Agents.

1. Connect your Pipedream and LinkedIn accounts: https://mcp.pipedream.com/app/linkedin
2. Get your Pipedream MCP server url: https://mcp.pipedream.com/app/linkedin
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__":
    asyncio.run(
        run_agent("Check the Pipedream organization on LinkedIn and tell me about it")
    )

​
Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/91_tools/mcp

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

# Export relevant API keys
export MCP_SERVER_URL="***"

python pipedream_linkedin.py