How to Use the Google Ads MCP in Pydantic AI

Q: How do I connect the Google Ads MCP Server to Pydantic AI?

Install pydantic-ai-slimmcp and use the MCPToolset class pointing to your Vinkius HTTP endpoint. Pass this toolset directly into your Agent constructor to register all 12 tools instantly.

Q: Does this MCP setup support streamable HTTP and SSE transports?

Yes, the MCPToolset in Pydantic AI handles both transports. This ensures reliable connection to your hosted Vinkius server for running continuous background audits.

Run type-safe Google Ads automation and validate campaign metrics at runtime with Pydantic AI.

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Connect Google Ads MCP to Pydantic AI

Create your Vinkius account to connect Google Ads to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Google Ads with Pydantic AI

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Type-Safe Campaign Audits with Pydantic AI

Silent data corruption will ruin your budget. When your agent queries your account, Pydantic AI validates every single field against strict Python types at runtime. The agent runs `get_campaign_details` and guarantees the returned budgets and statuses match your exact schemas. If the API returns unexpected null values or modified types, the framework fails loudly immediately. This prevents your agent from making critical decisions based on malformed or hallucinated data.

Strict Validation for Keyword Metrics

Do not let your agent guess keyword metrics. This MCP Server integration ensures that every performance metric conforms to your data models. The agent calls `get_keyword_performance` and parses the clicks, impressions, and costs through Pydantic validators. When running `search_keywords`, the framework checks the search volume and competition metrics before passing them to the LLM. You get clean, typed data that you can trust for programmatic bidding decisions.

Model-Agnostic Budget Monitoring

Switch models without rewriting your tool schemas. Your budget tracking remains strictly typed if you swap Anthropic for OpenAI or Gemini. The agent calls `list_budgets` to check active spend limits across your accounts. By parsing the output of `get_account_summary` through Pydantic AI's validation layer, you can run local models for quick checks and switch to larger models for complex optimization without breaking your code.

Setup guide

Set up Google Ads MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "google-ads-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Google Ads tools.",
)

result = await agent.run("List recent Google Ads transactions")
print(result.output)

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Common questions about Google Ads MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]` and use the `MCPToolset` class pointing to your Vinkius HTTP endpoint. Pass this toolset directly into your `Agent` constructor to register all 12 tools instantly.

If an API change causes a schema mismatch, Pydantic AI raises a validation error immediately. This stops the agent before it can execute actions like modifying campaigns with corrupted data.

Yes. Pydantic AI is model-agnostic, meaning you can run tools like `list_campaigns` and `list_ad_groups` using local models or any major commercial API.

Yes, the `MCPToolset` in Pydantic AI handles both transports. This ensures reliable connection to your hosted Vinkius server for running continuous background audits.

All keyword bids and campaign metrics are routed through encrypted HTTPS channels. Vinkius executes the tools inside isolated, zero-trust V8 sandboxes that wipe all memory as soon as the execution completes.

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