AdRoll MCP Server for Pydantic AIGive Pydantic AI instant access to 7 tools to Get Campaign, Get Report, List Adgroups, and more
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 App Connector for Pydantic AI
The AdRoll app connector for Pydantic AI is a standout in the Marketing Automation category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 "
"(7 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 account to any AI agent and take full control of your digital advertising operations and retargeting workflows through natural conversation.
Pydantic AI validates every AdRoll 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 all your advertising campaigns programmatically, retrieving detailed budget settings and high-fidelity operational status in real-time
- Ad Group & Creative Intelligence — Access your complete directory of ad groups and creative assets to coordinate your visual marketing strategy across multiple channels
- Performance Reporting — Programmatically retrieve real-time metrics including clicks, impressions, and high-fidelity spend data to optimize your ROI directly through your agent
- Audience Segmentation — Access and manage your retargeting segments to ensure perfectly coordinated audience targeting and high-fidelity personalized experiences
- Infrastructure Monitoring — Access advertisable profile metadata and verify account-level settings directly through your agent for instant operational reporting
The AdRoll 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.
All 7 AdRoll tools available for Pydantic AI
When Pydantic AI connects to AdRoll through Vinkius, your AI agent gets direct access to every tool listed below — spanning retargeting, performance-marketing, ad-campaigns, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get campaign details
Pass report criteria as a JSON string. Get performance report
List ad groups for a campaign
List all ads for an advertisable
List all advertisable profiles
List campaigns for an advertisable
List audience segments
Connect AdRoll to Pydantic AI via MCP
Follow these steps to wire AdRoll into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
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
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 my active advertising campaigns for profil EID '123'."
"Show the performance report (clicks and spend) for last week."
"List the audience segments for advertisable '123'."
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.