How do I get a Copy.ai API Key?

Log in to your Copy.ai workspace, go to **Settings > API Keys**, and click 'Create API Key'. Copy the generated secret key and paste it below.

What are Workflows in Copy.ai?

Workflows are multi-step AI processes that can automate complex tasks like lead research, content generation, and data enrichment. This integration allows you to trigger them directly from chat.

Can the agent access my Brand Voice?

Yes, if your workflow is configured to use your Brand Voice or Info Base, the agent can trigger those processes ensuring the output aligns with your brand standards.

Copy.ai MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: Copy.ai
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Copy.ai as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="copyai_agent",
    instruction=(
        "You help users interact with Copy.ai "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Copy.ai MCP Server

Integrate Copy.ai, the AI OS for GTM (Go-to-Market), directly into your workflow. Leverage powerful AI Workflows to automate repetitive tasks, generate high-quality content, and scale your operations using natural language.

Google ADK natively supports Copy.ai as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Execute Workflows — Run any of your pre-defined Copy.ai Workflows with custom inputs via chat.
Status Monitoring — Track the progress and results of active workflow runs in real-time.
Asset Management — Access your Brand Voice and Info Base to ensure consistent content quality.
Discovery — List and search for workflows and folders across your workspace.

The Copy.ai MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Copy.ai to Google ADK via MCP

Follow these steps to integrate the Copy.ai MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 8 tools from Copy.ai via MCP

Why Use Google ADK with the Copy.ai MCP Server

Google ADK provides unique advantages when paired with Copy.ai through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Copy.ai

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Copy.ai tools with BigQuery, Vertex AI, and Cloud Functions

Copy.ai + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Copy.ai MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Copy.ai and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Copy.ai tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Copy.ai regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Copy.ai

Copy.ai MCP Tools for Google ADK (8)

These 8 tools become available when you connect Copy.ai to Google ADK via MCP:

get_run_status

Resolves execution progress, current state (running, completed, failed), and output payload if available. Check the status and results of a workflow execution

get_workflow_details

Resolves input schema requirements, including required fields, data types, and structural dependencies. Get structure and input requirements for a workflow

list_brand_assets

Resolves identity and type for Brand Voice profiles and Info Base items used to contextually ground AI generation. List assets like Brand Voice or Info Base items

list_folders

Resolves folder identity properties such as IDs, names, and nesting relationships. List organizational folders in the workspace

list_workflow_runs

Resolves run identity properties including run IDs, start times, and terminal status across the platform boundary. List past executions of a specific workflow

list_workflows

Resolves workflow identity properties including unique identifiers, titles, and creation metadata across the Copy.ai system boundary. List all available AI workflows in your workspace

run_workflow

Resolves provided input parameters against the workflow schema and initiates the processing pipeline. Execute an AI workflow with specific inputs

search_workflows_by_name

Resolves a subset of workflows matching the name criteria across the workspace boundary. Search for workflows by name keyword

Example Prompts for Copy.ai in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Copy.ai immediately.

"List all content automation workflows in my workspace."

"Run the 'Lead Researcher' workflow for the domain 'vinkius.com'."

"Check the status of my latest workflow run."

Troubleshooting Copy.ai MCP Server with Google ADK

Common issues when connecting Copy.ai to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Copy.ai + Google ADK FAQ

Common questions about integrating Copy.ai MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.