How do I find my Amazon DSP 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 Advertiser ID.

How do I choose the correct region?

Select the region that matches your target marketplace: **NA** (North America - US, CA, MX, BR), **EU** (Europe - UK, DE, FR, IT, ES, etc.), or **FE** (Far East - JP, AU, SG).

Why do reports take time to generate?

Amazon Ads reporting API is asynchronous. When you request a report, it returns a `reportId`. You must wait a few moments and use the check status tool to download the data once it's ready.

Amazon DSP MCP Server for Pydantic AI 7 tools — connect in under 2 minutes

Name: Amazon DSP
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 7 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Amazon DSP 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 DSP "
            "(7 tools)."
        ),
    )

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

asyncio.run(main())

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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 DSP MCP Server

Connect your Amazon DSP (Demand-Side Platform) account to your AI agent to unlock professional programmatic advertising orchestration. From managing display and video campaigns to auditing audience segments and tracking performance reports, your agent handles your programmatic strategy through natural conversation.

Pydantic AI validates every Amazon DSP tool response against typed schemas, catching data inconsistencies at build time. Connect 7 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

Campaign Orchestration — List and manage DSP campaigns (formerly Orders) and monitor their budgets and delivery statuses
Ad Group Oversight — Retrieve details for ad groups (Line Items) to verify targeting and pacing settings
Creative Management — List and audit creative assets associated with your campaigns to ensure brand compliance
Audience Targeting — Retrieve custom audiences and segments used for precise programmatic targeting
Performance Reporting — Request and monitor asynchronous performance reports to analyze impressions, reach, and conversions

The Amazon DSP MCP Server exposes 7 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 DSP to Pydantic AI via MCP

Follow these steps to integrate the Amazon DSP 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 7 tools from Amazon DSP with type-safe schemas

Why Use Pydantic AI with the Amazon DSP MCP Server

Pydantic AI provides unique advantages when paired with Amazon DSP 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 DSP 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 DSP connection logic from agent behavior for testable, maintainable code

Amazon DSP + Pydantic AI Use Cases

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

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

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

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

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

Amazon DSP MCP Tools for Pydantic AI (7)

These 7 tools become available when you connect Amazon DSP to Pydantic AI via MCP:

get_campaign_details

Get campaign metadata

get_report_status

Check report status

list_ad_groups

List DSP ad groups

list_audiences

List audiences

list_campaigns

List DSP campaigns

list_creatives

List creatives

request_report

Request performance report

Example Prompts for Amazon DSP in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Amazon DSP immediately.

"List my Amazon DSP campaigns."

"Show me the active ad groups for campaign ID '123456'."

"Request a DSP performance report for yesterday."

Troubleshooting Amazon DSP MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Amazon DSP + Pydantic AI FAQ

Common questions about integrating Amazon DSP 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 DSP MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.