Amazon Marketing Cloud MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Amazon Marketing Cloud as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="amazon_marketing_cloud_agent",
instruction=(
"You help users interact with Amazon Marketing Cloud "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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 Amazon Marketing Cloud MCP Server
Connect your Amazon Marketing Cloud (AMC) instance to your AI agent to unlock professional cross-channel advertising analytics. From defining SQL-based workflows to executing ad-hoc queries and retrieving secure download URLs for your reports, your agent handles your AMC data pipelines through natural conversation.
Google ADK natively supports Amazon Marketing Cloud as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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
- Workflow Orchestration — List, retrieve, and manage saved SQL workflows to standardize your analytics
- Execution Management — Trigger new workflow executions or ad-hoc SQL queries and monitor their processing status
- Results Retrieval — Securely fetch S3 download URLs for completed execution outputs directly from chat
- Task Oversight — Audit recent execution history and cancel long-running or stalled queries
- Data Insights — Quickly organize and trigger complex multi-touch attribution queries without navigating the AWS console
The Amazon Marketing Cloud MCP Server exposes 10 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 Amazon Marketing Cloud to Google ADK via MCP
Follow these steps to integrate the Amazon Marketing Cloud 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 10 tools from Amazon Marketing Cloud via MCP
Why Use Google ADK with the Amazon Marketing Cloud MCP Server
Google ADK provides unique advantages when paired with Amazon Marketing Cloud 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 Amazon Marketing Cloud
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 Amazon Marketing Cloud tools with BigQuery, Vertex AI, and Cloud Functions
Amazon Marketing Cloud + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Amazon Marketing Cloud MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Amazon Marketing Cloud and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Amazon Marketing Cloud tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Amazon Marketing Cloud regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Amazon Marketing Cloud
Amazon Marketing Cloud MCP Tools for Google ADK (10)
These 10 tools become available when you connect Amazon Marketing Cloud to Google ADK via MCP:
create_execution
Execute an AMC query
create_workflow
Create an AMC workflow
delete_execution
Cancel an execution
delete_workflow
Delete an AMC workflow
get_execution_download_urls
Get execution download URLs
get_execution_status
g. PENDING, COMPLETED). Check execution status
get_workflow_details
Get workflow details
list_executions
List workflow executions
list_workflows
List AMC workflows
update_workflow
Update an AMC workflow
Example Prompts for Amazon Marketing Cloud in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Amazon Marketing Cloud immediately.
"List my saved AMC workflows."
"Check the status of execution ID 'exec-12345'."
"Execute workflow 'wkfl-98765' for the last 7 days."
Troubleshooting Amazon Marketing Cloud MCP Server with Google ADK
Common issues when connecting Amazon Marketing Cloud to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkAmazon Marketing Cloud + Google ADK FAQ
Common questions about integrating Amazon Marketing Cloud MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Amazon Marketing Cloud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Amazon Marketing Cloud to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
