How to Use the Copy.ai MCP in Google ADK

Execute Copy.ai workflows directly from your Google ADK enterprise agents using this MCP Server.

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Connect Copy.ai MCP to Google ADK

Create your Vinkius account to connect Copy.ai 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.

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Setup Copy.ai with Google ADK

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Run Copy.ai workflows directly from Google ADK agents.

Your Gemini-powered Google ADK agent uses `run_workflow` to kick off Copy.ai content generation pipelines. It tracks execution histories across your workspace by calling `list_workflow_runs` to verify past outputs. This integration lets you feed massive datasets from BigQuery into your Copy.ai workflows. Gemini's million-token context window processes the raw data, while the Google ADK handles the API execution.

Ground Gemini reasoning in your brand guidelines.

The Google ADK agent calls `list_brand_assets` via the MCP Server to pull Copy.ai brand voice rules and info base items directly into Gemini's active context. It organizes these assets by querying `list_folders` to find the correct workspace directory. By combining Google Cloud data with your Copy.ai brand assets, the Google ADK agent ensures generated assets stay on-brand. You get hyper-personalized copy without manual prompt engineering in Gemini.

Dynamic Copy.ai discovery inside Google ADK.

Your Google ADK agent uses `search_workflows_by_name` to locate specific Copy.ai pipelines in your workspace. It then calls `get_workflow_details` to read the input schema requirements before formatting the execution payload. This runtime discovery lets your Google ADK agent adapt to changes in your Copy.ai workspace. If you add a new required field to a workflow, the Gemini agent detects it and adjusts its inputs.

Setup guide

Set up Copy.ai 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 Copy.ai 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="Copy.ai_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Copy.ai 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 Copy.ai. 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 Copy.ai MCP in Google ADK

Install the ADK and use the toolset class with the Vinkius HTTP transport URL. Pass this toolset to your agent constructor to expose tools like execution and status checking to Gemini.

Yes. Your Google ADK agent can retrieve brand voice profiles and feed entire document libraries into Gemini's context window before triggering a run.

The agent calls schema details over the MCP to fetch the required input schema. The Google ADK uses Gemini's structured output mode to format the payload, ensuring the arguments match the schema exactly before executing.

Yes. Use the ADK's tool filtering options to expose only specific tools while hiding workspace management tools.

Vinkius runs this MCP Server in an ephemeral sandbox, securing your workflow inputs, run statuses, and brand assets. No data is stored, and communication is fully encrypted between GCP and the API.

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