Microsoft Ads MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Microsoft Ads 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 Microsoft Ads "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Microsoft Ads?"
)
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 Microsoft Ads MCP Server
Connect Microsoft Ads to any AI agent via MCP.
How to Connect Microsoft Ads to Pydantic AI via MCP
Follow these steps to integrate the Microsoft Ads 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 Microsoft Ads with type-safe schemas
Why Use Pydantic AI with the Microsoft Ads MCP Server
Pydantic AI provides unique advantages when paired with Microsoft Ads 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 Microsoft Ads integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Microsoft Ads connection logic from agent behavior for testable, maintainable code
Microsoft Ads + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Microsoft Ads MCP Server delivers measurable value.
Type-safe data pipelines: query Microsoft Ads with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Microsoft Ads tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Microsoft Ads and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Microsoft Ads responses and write comprehensive agent tests
Microsoft Ads MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Microsoft Ads to Pydantic AI via MCP:
get_ms_account_info
Get account details
get_ms_ad_group_details
Get details for a specific ad group
get_ms_campaign_details
Get details for a specific campaign
list_ms_ad_groups
List ad groups in a campaign
list_ms_ads
List ads in an ad group
list_ms_budgets
List all shared budgets
list_ms_campaigns
List all Microsoft Ads campaigns
list_ms_keywords
List keywords in an ad group
list_ms_targeting_settings
) for a campaign. List targeting settings
search_ms_campaigns
Search campaigns by name
Troubleshooting Microsoft Ads MCP Server with Pydantic AI
Common issues when connecting Microsoft Ads to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiMicrosoft Ads + Pydantic AI FAQ
Common questions about integrating Microsoft Ads 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 Microsoft Ads 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 Microsoft Ads to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.