How to Use the Pinterest Ads MCP in Google ADK

Q: How do I connect the Pinterest Ads MCP server to my Google ADK agent?

You initialize McpToolset with the HTTP server parameters and pass it to your Google ADK LlmAgent tools array. The Google ADK model automatically registers tools like getpinterestcampaign to analyze your Pinterest ads.

Q: Can I filter which Pinterest Ads tools are exposed to Google ADK?

Yes, you can use the toolnames filter in your Google ADK toolset configuration to restrict access. For example, you can expose only listpinterestboards and listpinterestpins to your Google agent while hiding core Pinterest campaign tools.

Q: Is my Pinterest Ads keyword and campaign data secure when using Google ADK?

Your Pinterest advertising data, including lists from listpinterestkeywords, is protected by ephemeral execution during Google ADK runtime. The V8 isolate handles the Pinterest API request, passes the structured data to your Google ADK environment, and immediately wipes the memory.

Connect live Pinterest Ads data directly to Gemini models and BigQuery using the Google ADK for GCP.

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Setup Pinterest Ads with Google ADK

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Scale catalog analysis using the Google ADK

The `list_pinterest_catalogs` tool connects your live Pinterest product feeds directly to Google ADK's Gemini model. Your Gemini enterprise agent parses massive Pinterest inventory files alongside historical performance data in a single pass. Combining this with `list_pinterest_pins` lets the Google ADK agent find Pinterest catalog discrepancies without manual audits. The Google ADK agent spots missing Pinterest images or broken links and flags them before they hurt your Pinterest quality score.

Blend Pinterest data with BigQuery warehouse metrics

The `get_pinterest_analytics` tool enables your Google ADK models to pull real-time Pinterest metrics via this MCP server. The Google agent cross-references these Pinterest numbers with your internal BigQuery data tables to calculate true ROAS. It queries `list_pinterest_ad_groups` to map offline Google Cloud sales data back to specific Pinterest ad sets. You get a complete view of your Pinterest marketing pipeline inside Google ADK without building fragile ETL pipelines.

Automate audience mapping across channels

The `list_pinterest_audiences` tool exposes your saved Pinterest segments directly to Google ADK's reasoning models. The Google agent compares these Pinterest groups against your Google Analytics audiences to find targeting gaps. By executing `list_pinterest_campaigns`, the Google ADK agent identifies which Pinterest campaign structures yield the lowest cost per acquisition. It then suggests Pinterest budget reallocations directly within your Google Cloud workflow based on actual performance.

Setup guide

Set up Pinterest Ads 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 Pinterest Ads 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="Pinterest Ads_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Pinterest Ads tools via MCP.",
    tools=mcp_tools,
)

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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 Pinterest Ads. 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.

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Common questions about Pinterest Ads MCP in Google ADK

You initialize `McpToolset` with the HTTP server parameters and pass it to your Google ADK `LlmAgent` tools array. The Google ADK model automatically registers tools like `get_pinterest_campaign` to analyze your Pinterest ads.

Yes, you can use the `tool_names` filter in your Google ADK toolset configuration to restrict access. For example, you can expose only `list_pinterest_boards` and `list_pinterest_pins` to your Google agent while hiding core Pinterest campaign tools.

Gemini's massive context window in the Google ADK easily ingests large payloads from `list_pinterest_keywords` and `get_pinterest_analytics`. The Google model processes thousands of Pinterest keywords and performance metrics in a single prompt without truncation.

Yes, the Pinterest Ads MCP server runs in a secure V8 sandbox that connects to your Google ADK Python environment over standard HTTP transport. This setup integrates directly with your existing Google Cloud security policies while managing Pinterest campaigns.

Your Pinterest advertising data, including lists from `list_pinterest_keywords`, is protected by ephemeral execution during Google ADK runtime. The V8 isolate handles the Pinterest API request, passes the structured data to your Google ADK environment, and immediately wipes the memory.

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