How to Use the Klipfolio MCP in OpenAI Agents SDK

Q: How do I connect Klipfolio to the OpenAI Agents SDK?

You initialize the server via MCPServerStreamableHttp within your agent constructor. The SDK automatically picks up the tools once you pass the server object to your agent configuration.

Q: How do I list Klips using the OpenAI Agents SDK?

Call the listindividualklips tool inside your agent loop. It returns the full set of active Klips for your account so the agent can reason about specific visualizations.

Use the Klipfolio MCP Server with OpenAI Agents SDK to automate your dashboard refreshes and metric tracking in production.

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Connect Klipfolio MCP to OpenAI Agents SDK

Create your Vinkius account to connect Klipfolio to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Klipfolio with OpenAI Agents SDK

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Automate Klipfolio data refreshes

Your agent triggers `refresh_data_source` the moment new data hits your warehouse. Stop waiting for manual dashboard updates to see the truth. This keeps your team looking at live numbers instead of stale reports. The agent handles the API call, ensuring your metrics stay current without human intervention.

Inspect dashboard health

Query your entire workspace using `list_dashboards` and `get_dashboard_details` to find exactly what you need. Your agent parses the response to identify which metrics are trending up or down. It removes the guesswork from monitoring. You get a clear view of your account status directly through the OpenAI Agents SDK interface.

Manage Klipfolio data sources

Use `list_data_sources` to map out your infrastructure. Your agent keeps an inventory of every connection, making it simple to audit what data feeds your KPIs. It flags missing or disconnected sources before they break your reports. You maintain control over your data flow without digging through the web UI.

Setup guide

Set up Klipfolio MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Klipfolio tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Klipfolio tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Klipfolio tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Klipfolio Agent",
            instructions="You have access to Klipfolio tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Klipfolio. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about Klipfolio MCP in OpenAI Agents SDK

You initialize the server via `MCPServerStreamableHttp` within your agent constructor. The SDK automatically picks up the tools once you pass the server object to your agent configuration.

Yes. You should implement guardrails that check the output of `refresh_data_source` before proceeding. If the tool returns an error, your agent can catch it and alert you immediately.

It does. Because the tools are integrated via the MCP standard, every call made to the server is logged through your standard agent tracing pipeline.

Call the `list_individual_klips` tool inside your agent loop. It returns the full set of active Klips for your account so the agent can reason about specific visualizations.

Data privacy is maintained because the server only executes requests you explicitly authorize. The MCP connection relies on your unique endpoint token, ensuring no unauthorized access to your dashboard metrics occurs.

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