How to Use the Zapier MCP in Google ADK

Q: How do I get a full picture of my account with Zapier using Google ADK?

Use the getprofile tool. It pulls details about the authenticated Zapier user and the associated account structure. This gives your agent foundational context it needs for any operation.

Q: Can this MCP Server help me find new automation ideas with Zapier using Google ADK?

Yes, you can use searchtemplates. It searches the directory for pre-made workflow templates, pointing out connections like 'Gmail to Sheets.' This saves your team from manual research.

Q: When building large systems with Zapier and Google ADK, how do I ensure data integrity?

The agent can use getzap to retrieve the full configuration for a specific Zap. By validating this structured data against your BigQuery models before execution, you guarantee correctness.

Q: What tools are best for inventorying my existing workflows with Zapier and Google ADK?

Combine listzaps and getzap. First, list all the Zaps to see what's there. Then, use getzap on individual items to read their specific configurations and settings.

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Audit workflow success with `get_history`

The tool `get_history` lets your agent check the execution log of any specific Zap. This is crucial for debugging or auditing because it shows if a process ran correctly and when. The data flow needs to be confirmed, period. If you're building an enterprise system on Google Cloud, knowing the full history prevents costly mistakes down the line.

Manage all workflows with `list_zaps`

`list_zaps` pulls a master list of every automated workflow in your Zapier account. Your agent uses this to understand the scope of operations—it knows what Zaps exist and can be acted upon. This is key for large-scale deployments where thousands of processes might run. The agent starts by mapping out all available automation.

Check connected apps with `list_apps`

Your agents call `list_apps` to get a manifest of all third-party applications currently linked to the Zapier account. This provides a clear picture of integration points, whether it's Google Workspace or another service. Before an agent can send data anywhere, it needs to confirm that the target app is both connected and available for automation.

Setup guide

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

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Common questions about Zapier MCP in Google ADK

Use the `get_profile` tool. It pulls details about the authenticated Zapier user and the associated account structure. This gives your agent foundational context it needs for any operation.

Yes, you can use `search_templates`. It searches the directory for pre-made workflow templates, pointing out connections like 'Gmail to Sheets.' This saves your team from manual research.

The agent can use `get_zap` to retrieve the full configuration for a specific Zap. By validating this structured data against your BigQuery models before execution, you guarantee correctness.

Combine `list_zaps` and `get_zap`. First, list all the Zaps to see what's there. Then, use `get_zap` on individual items to read their specific configurations and settings.

It touches profile details, application connection lists, and the structured configuration of automated workflows. Specifically, it deals with account metadata and workflow definitions.

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