AdRoll MCP Server for Pydantic AI 5 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect AdRoll through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 AdRoll "
"(5 tools)."
),
)
result = await agent.run(
"What tools are available in AdRoll?"
)
print(result.data)
asyncio.run(main())
* 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 AdRoll MCP Server
Connect your AdRoll (NextRoll) account to your AI agent to unlock professional e-commerce marketing and retargeting orchestration. From auditing your advertisable accounts to monitoring real-time campaign performance and managing creative ad assets, your agent handles your advertising ecosystem through natural conversation.
Pydantic AI validates every AdRoll tool response against typed schemas, catching data inconsistencies at build time. Connect 5 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 Management — List and retrieve details for active campaigns across multiple channels (Web, Facebook, etc.)
- Account Auditing — List your 'Advertisables' (advertiser accounts) and retrieve technical metadata for each
- Performance Reporting — Retrieve granular statistics on clicks, spend, and conversions to monitor your marketing ROI
- Creative Asset Oversight — List and audit your ad creatives (banners, videos) to ensure your visual content is optimized
- Strategy Insights — Quickly identify high-performing strategies and identify areas for budget optimization directly from chat
The AdRoll MCP Server exposes 5 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 AdRoll to Pydantic AI via MCP
Follow these steps to integrate the AdRoll 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 5 tools from AdRoll with type-safe schemas
Why Use Pydantic AI with the AdRoll MCP Server
Pydantic AI provides unique advantages when paired with AdRoll 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 AdRoll integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your AdRoll connection logic from agent behavior for testable, maintainable code
AdRoll + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the AdRoll MCP Server delivers measurable value.
Type-safe data pipelines: query AdRoll with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple AdRoll tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query AdRoll and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock AdRoll responses and write comprehensive agent tests
AdRoll MCP Tools for Pydantic AI (5)
These 5 tools become available when you connect AdRoll to Pydantic AI via MCP:
get_campaign_details
Get campaign metadata
get_performance_report
Filterable by EID and date. Get performance statistics
list_ads
List ad creatives
list_advertisables
List advertiser accounts
list_campaigns
List active campaigns
Example Prompts for AdRoll in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with AdRoll immediately.
"List all active advertisable accounts in my AdRoll organization."
"Show me the performance of my Web Retargeting campaign for the last 7 days."
"List all ad creatives for advertisable EID 'AD1234567890'."
Troubleshooting AdRoll MCP Server with Pydantic AI
Common issues when connecting AdRoll to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAdRoll + Pydantic AI FAQ
Common questions about integrating AdRoll MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect AdRoll 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 AdRoll to Pydantic AI
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.