Google Search Console 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 Google Search Console through the 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 Google Search Console "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Google Search Console?"
)
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 Google Search Console MCP Server
Connect your Google Search Console to your AI agent and take control of your technical SEO. Use natural language to query search traffic data, inspect URLs for indexing errors, and manage your sitemaps across all your verified web properties.
Pydantic AI validates every Google Search Console tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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
- Search Analytics — Query clicks, impressions, CTR, and position data by date, country, device, or specific queries
- URL Inspection — Instantly check if a specific page on your site is indexed by Google and identify any mobile usability or indexing errors
- Sitemap Management — List all submitted sitemaps, verify their status, and submit new ones directly from the chat
- Site Management — View all your verified properties and add or remove sites from your Search Console account
The Google Search Console 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.
How to Connect Google Search Console to Pydantic AI via MCP
Follow these steps to integrate the Google Search Console 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 Google Search Console with type-safe schemas
Why Use Pydantic AI with the Google Search Console MCP Server
Pydantic AI provides unique advantages when paired with Google Search Console 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 Google Search Console integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Google Search Console connection logic from agent behavior for testable, maintainable code
Google Search Console + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Google Search Console MCP Server delivers measurable value.
Type-safe data pipelines: query Google Search Console with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Google Search Console tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Google Search Console and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Google Search Console responses and write comprehensive agent tests
Google Search Console MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Google Search Console to Pydantic AI via MCP:
add_site
Add a site to Search Console
delete_site
Remove a site from Search Console
delete_sitemap
Delete a submitted sitemap
get_site
Get details for a specific site
get_sitemap
Get details about a specific sitemap
inspect_url
Inspect the index status of a specific URL
list_sitemaps
List submitted sitemaps for a site
list_sites
List verified sites in Search Console
query_search_analytics
Query search traffic data
submit_sitemap
Submit a new sitemap
Example Prompts for Google Search Console in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Google Search Console immediately.
"Check if https://mysite.com/new-post is indexed by Google."
"What were the top 5 search queries for our site last week?"
"Submit our new sitemap at https://mysite.com/sitemap-products.xml to Search Console."
Troubleshooting Google Search Console MCP Server with Pydantic AI
Common issues when connecting Google Search Console to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiGoogle Search Console + Pydantic AI FAQ
Common questions about integrating Google Search Console 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 Google Search Console 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 Google Search Console to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.