How do I find my Amazon Ads API credentials?

You need to create a 'Login with Amazon' application in the Amazon Developer Console to get your Client ID and Client Secret. Then, you generate a Refresh Token. You also need your AMC Instance ID.

What is an AMC workflow?

A workflow in AMC is a saved SQL query. You can save complex queries as workflows and then execute them repeatedly by triggering a workflow execution.

How do I get the results of my query?

Query executions are asynchronous. First, trigger an execution. Then, check its status. Once the status is COMPLETED, use the `get_execution_download_urls` tool to get a pre-signed S3 link to download the CSV data.

Amazon Marketing Cloud MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Amazon Marketing Cloud
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Amazon Marketing Cloud through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Amazon Marketing Cloud "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Amazon Marketing Cloud?"
    )
    print(result.data)

asyncio.run(main())

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 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.

Pydantic AI validates every Amazon Marketing Cloud tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Amazon Marketing Cloud MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Amazon Marketing Cloud with type-safe schemas

Why Use Pydantic AI with the Amazon Marketing Cloud MCP Server

Pydantic AI provides unique advantages when paired with Amazon Marketing Cloud through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Amazon Marketing Cloud integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Amazon Marketing Cloud connection logic from agent behavior for testable, maintainable code

Amazon Marketing Cloud + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Amazon Marketing Cloud MCP Server delivers measurable value.

Type-safe data pipelines: query Amazon Marketing Cloud with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Amazon Marketing Cloud tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Amazon Marketing Cloud and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Amazon Marketing Cloud responses and write comprehensive agent tests

Amazon Marketing Cloud MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Amazon Marketing Cloud to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Amazon Marketing Cloud to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Amazon Marketing Cloud + Pydantic AI FAQ

Common questions about integrating Amazon Marketing Cloud MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Amazon Marketing Cloud MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.