> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Pipedream LinkedIn

> Use the LinkedIn Pipedream MCP server with Agno Agents.

## Code

```python pipedream_linkedin.py theme={null}
import asyncio
import os

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.mcp import MCPTools, StreamableHTTPClientParams
from agno.utils.log import log_exception

mcp_access_token = os.environ["MCP_ACCESS_TOKEN"]
pipedream_project_id = os.environ["PIPEDREAM_PROJECT_ID"]
pipedream_environment = os.environ["PIPEDREAM_ENVIRONMENT"]
pipedream_external_user_id = os.environ["PIPEDREAM_EXTERNAL_USER_ID"]

server_params = StreamableHTTPClientParams(
    url="https://remote.mcp.pipedream.net/v3",
    headers={
        "Authorization": f"Bearer {mcp_access_token}",
        "x-pd-project-id": pipedream_project_id,
        "x-pd-environment": pipedream_environment,
        "x-pd-external-user-id": pipedream_external_user_id,
        "x-pd-app-slug": "linkedin",
    },
)


async def run_agent(task: str) -> None:
    try:
        async with MCPTools(
            server_params=server_params,
            transport="streamable-http",
            timeout_seconds=20,
        ) as mcp:
            agent = Agent(
                model=OpenAIResponses(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}")


if __name__ == "__main__":
    asyncio.run(
        run_agent("Check the Pipedream organization on LinkedIn and tell me about it")
    )
```

## Prerequisites

Create a Pipedream Connect project and obtain an MCP access token by following the [Pipedream developer setup](https://pipedream.com/docs/connect/mcp/developers). Use a stable ID from your application for `PIPEDREAM_EXTERNAL_USER_ID`. If the first tool call returns a connection link, open it to authorize the LinkedIn account, then run the example again.

```shell theme={null}
uv pip install "agno[mcp]" openai
```

```shell theme={null}
export MCP_ACCESS_TOKEN=***
export OPENAI_API_KEY=***
export PIPEDREAM_PROJECT_ID=proj_***
export PIPEDREAM_ENVIRONMENT=development
export PIPEDREAM_EXTERNAL_USER_ID=user_***
```

## Run the Example

Save the code above as `pipedream_linkedin.py`, then run:

```bash theme={null}
python pipedream_linkedin.py
```