AdButler MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Check Adbutler Status, Get Advertiser, Get Campaign, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect AdButler 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 AdButler app connector for Pydantic AI is a standout in the Marketing Automation category — giving your AI agent 10 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 AdButler "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in AdButler?"
)
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 AdButler MCP Server
Connect your AdButler account to any AI agent and take full control of your ad server orchestration and automated display advertising through natural conversation.
Pydantic AI validates every AdButler 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
- Campaign & Ad Portfolio Orchestration — List and manage your entire high-fidelity portfolio of advertisers and campaigns programmatically, retrieving detailed technical metadata
- Banner & Creative Intelligence — Programmatically retrieve directories of banners and access complete high-fidelity asset metadata to coordinate your organizational broadcasting
- Performance Architecture Monitoring — Access real-time status updates for active banners and track impression/click metrics directly through your agent
- Metadata Management — Programmatically retrieve high-fidelity zone IDs and publisher metadata to maintain a perfectly coordinated ad inventory record
- Operational Monitoring — Verify account-level API connectivity and monitor orchestration volume directly through your agent for perfectly coordinated service scaling
The AdButler 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.
All 10 AdButler tools available for Pydantic AI
When Pydantic AI connects to AdButler through Vinkius, your AI agent gets direct access to every tool listed below — spanning ad-server, campaign-management, impression-tracking, 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.
Verify AdButler API connectivity
Get advertiser details
Get campaign details
Get ad serving statistics
List all advertisers
List ad items in a campaign
List all campaigns
List all placements
List all publishers
List all ad zones
Connect AdButler to Pydantic AI via MCP
Follow these steps to wire AdButler 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 AdButler MCP Server
Pydantic AI provides unique advantages when paired with AdButler 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 AdButler integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your AdButler connection logic from agent behavior for testable, maintainable code
AdButler + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the AdButler MCP Server delivers measurable value.
Type-safe data pipelines: query AdButler with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple AdButler tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query AdButler and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock AdButler responses and write comprehensive agent tests
Example Prompts for AdButler in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with AdButler immediately.
"List all active advertisers in my AdButler account."
"Show the performance for 'Banner A' from yesterday."
"Check for any campaigns expiring this week."
Troubleshooting AdButler MCP Server with Pydantic AI
Common issues when connecting AdButler to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAdButler + Pydantic AI FAQ
Common questions about integrating AdButler 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.