How to Use the Klipfolio MCP in Google ADK

Q: How does Google ADK interact with the Klipfolio MCP Server?

You use the McpToolset class to wrap the server endpoint. Once defined, you add this toolset to your LlmAgent to grant it access to your analytics data.

Q: Does Google ADK support filtering Klipfolio tools?

It does. You can pass a list of tool names to the McpToolset to limit what the agent can access, keeping your Klipfolio integration scoped to specific tasks.

Q: How do I list sub-clients in Klipfolio using Google ADK?

Use the listaccountclients tool. It returns an array of your sub-clients, allowing the agent to switch between different account contexts dynamically.

Deploy the Klipfolio MCP Server with Google ADK to bridge your BI metrics and enterprise data agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Klipfolio MCP to Google ADK

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

GDPR Free for Subscribers

Setup Klipfolio with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Query Klipfolio metrics with Google ADK

Link your dashboards to your agent using `list_dashboards`. Your agent pulls active reports and interprets them alongside your BigQuery data. This gives your agent context on business performance. It connects the dots between raw database queries and your final dashboard metrics.

Sync Klipfolio data instances

Invoke `list_data_sources` to see exactly what is feeding your reports. Your agent maps these instances to identify potential bottlenecks in your reporting pipeline. It provides visibility into your data ingestion layer. You get a clear picture of what data is available for your agent to analyze.

Refresh Klipfolio dashboards on command

Trigger `refresh_data_source` directly from your agent logic. When you need the latest numbers, the agent ensures your Klipfolio instance hits the source API and updates. This keeps your Google ADK agent aligned with real-time business changes. You avoid the lag associated with scheduled batch updates.

Setup guide

Set up Klipfolio MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Klipfolio tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Klipfolio_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Klipfolio tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Klipfolio now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Klipfolio MCP in Google ADK

You use the `McpToolset` class to wrap the server endpoint. Once defined, you add this toolset to your `LlmAgent` to grant it access to your analytics data.

It does. You can pass a list of tool names to the `McpToolset` to limit what the agent can access, keeping your Klipfolio integration scoped to specific tasks.

Your Klipfolio metrics are kept secure behind your API token. The server acts as a strictly controlled gateway, and no data is shared outside your environment without your explicit instructions.

Yes. Since the server provides standard tool definitions, your agent running on Vertex AI can invoke Klipfolio functions as easily as any internal cloud service.

Use the `list_account_clients` tool. It returns an array of your sub-clients, allowing the agent to switch between different account contexts dynamically.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript