# How to integrate Google search console MCP with Pydantic AI

```json
{
  "title": "How to integrate Google search console MCP with Pydantic AI",
  "toolkit": "Google search console",
  "toolkit_slug": "google_search_console",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/google_search_console/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/google_search_console/framework/pydantic-ai.md",
  "updated_at": "2026-05-12T10:13:44.771Z"
}
```

## Introduction

This guide walks you through connecting Google search console to Pydantic AI using the Composio tool router. By the end, you'll have a working Google search console agent that can fetch last week's top search queries, inspect indexing status for this url, list all sitemaps for your site through natural language commands.
This guide will help you understand how to give your Pydantic AI agent real control over a Google search console account through Composio's Google search console MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Google search console with

- [ChatGPT](https://composio.dev/toolkits/google_search_console/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/google_search_console/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/google_search_console/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/google_search_console/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/google_search_console/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/google_search_console/framework/codex)
- [Cursor](https://composio.dev/toolkits/google_search_console/framework/cursor)
- [VS Code](https://composio.dev/toolkits/google_search_console/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/google_search_console/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/google_search_console/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/google_search_console/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/google_search_console/framework/cli)
- [Google ADK](https://composio.dev/toolkits/google_search_console/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/google_search_console/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/google_search_console/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/google_search_console/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/google_search_console/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/google_search_console/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- How to set up your Composio API key and User ID
- How to create a Composio Tool Router session for Google search console
- How to attach an MCP Server to a Pydantic AI agent
- How to stream responses and maintain chat history
- How to build a simple REPL-style chat interface to test your Google search console workflows

## What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.
Key features include:
- Type Safety: Built on Pydantic for automatic data validation
- MCP Support: Native support for Model Context Protocol servers
- Streaming: Built-in support for streaming responses
- Async First: Designed for async/await patterns

## What is the Google search console MCP server, and what's possible with it?

The Google search console MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Google Search Console account. It provides structured and secure access to your website’s search analytics and indexing data, so your agent can retrieve site lists, inspect URLs, manage sitemaps, and run detailed search performance queries on your behalf.
- Comprehensive site and sitemap management: Have your agent list all properties you own, fetch details about specific sitemaps, or submit new sitemaps for indexing to keep Google up to date.
- Automated URL inspection: Let your agent check the indexing status and uncover crawl or indexing issues for any URL in your properties, so you can spot and resolve problems quickly.
- Instant search analytics reporting: Ask your agent to pull granular performance metrics such as clicks, impressions, CTR, and average position for any site, page, or query segment.
- Bulk site and sitemap overview: Effortlessly retrieve a list of all sites and their associated sitemaps, making it easy to monitor your web presence at scale.
- Proactive index issue detection: Enable your agent to routinely review URLs and sitemaps for errors or warnings, helping you stay ahead of SEO issues without manual digging.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `GOOGLE_SEARCH_CONSOLE_ADD_SITE` | Add Site | Adds a site to the set of the user's sites in Google Search Console. This action registers a new property (site) in Google Search Console for the authenticated user. After adding the site, you will need to verify ownership through one of the available verification methods. The site URL must be properly formatted as either a URL-prefix property (with protocol) or a domain property (with sc-domain prefix). |
| `GOOGLE_SEARCH_CONSOLE_DELETE_SITE` | Delete Site | Removes a site from the user's Google Search Console sites. This action permanently removes a site property from the authenticated user's Search Console account. The site URL must be URL-encoded. Use this when you need to unregister a site from tracking in Search Console. |
| `GOOGLE_SEARCH_CONSOLE_GET_SITE` | Get Site | Retrieves information about a specific Search Console site. Use when you need to get site details including permission level for a specific property. |
| `GOOGLE_SEARCH_CONSOLE_GET_SITEMAP` | Get Sitemap | Retrieves sitemap metadata (submitted/indexed counts, errors, warnings, last-submission timestamps) for a specific sitemap in Search Console. Returns metadata only, not raw XML content. Note: numeric fields like `errors`, `warnings`, `submitted`, and `indexed` may be returned as strings; cast to int before comparisons. Values such as `contents.indexed` can lag several days after submission. |
| `GOOGLE_SEARCH_CONSOLE_INSPECT_URL` | Inspect URL | Inspects a URL for indexing issues and status in Google Search Console. Results may reflect cached data lagging real changes by several days. High-volume use can trigger 429 quota errors; limit to priority URLs. |
| `GOOGLE_SEARCH_CONSOLE_LIST_SITEMAPS` | List Sitemaps | Lists all sitemaps for a site in Google Search Console. Response fields `errors`, `warnings`, `contents.submitted`, and `contents.indexed` may be returned as strings; cast to integers before numeric operations. Evaluate these fields alongside `isPending` for sitemap health. |
| `GOOGLE_SEARCH_CONSOLE_LIST_SITES` | List Sites | Lists all verified sites (properties) owned by the authenticated user in Google Search Console. Response contains a siteEntry array — always iterate it, never assume a single object. Each entry includes permissionLevel, which varies per site; do not assume owner-level access for all returned properties. When calling downstream tools, use the site_url value exactly as returned, including protocol, subdomain, sc-domain: prefix, and trailing slash — any deviation causes empty results or permission errors. Empty siteEntry may indicate missing OAuth scopes or no verified properties. Newly added properties may not appear immediately due to propagation delay. |
| `GOOGLE_SEARCH_CONSOLE_SEARCH_ANALYTICS_QUERY` | Search Analytics Query | Queries Google Search Console for search analytics data including clicks, impressions, CTR, and position metrics. Only returns URLs with at least one impression; missing rows do not confirm non-indexing. Position is an impression-weighted average rank. |
| `GOOGLE_SEARCH_CONSOLE_SUBMIT_SITEMAP` | Submit Sitemap | Submits a sitemap to Google Search Console for indexing. This action registers or resubmits a sitemap for a verified property in Google Search Console. The sitemap file must be accessible at the specified URL and properly formatted as XML. Supported sitemap types include standard sitemaps, sitemap index files, RSS feeds, and Atom feeds. The authenticated user must have site owner or full user permissions for the property. After submission, Google will crawl and process the sitemap according to its standard indexing schedule. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Google search console MCP server is an implementation of the Model Context Protocol that connects your AI agent to Google search console. It provides structured and secure access so your agent can perform Google search console operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Python 3.9 or higher
- A Composio account with an active API key
- Basic familiarity with Python and async programming

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

Install the required libraries.
What's happening:
- composio connects your agent to external SaaS tools like Google search console
- pydantic-ai lets you create structured AI agents with tool support
- python-dotenv loads your environment variables securely from a .env file
```bash
pip install composio pydantic-ai python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your agent to Composio's API
- USER_ID associates your session with your account for secure tool access
- OPENAI_API_KEY to access OpenAI LLMs
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key
```

### 4. Import dependencies

What's happening:
- We load environment variables and import required modules
- Composio manages connections to Google search console
- MCPServerStreamableHTTP connects to the Google search console MCP server endpoint
- Agent from Pydantic AI lets you define and run the AI assistant
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
```

### 5. Create a Tool Router Session

What's happening:
- We're creating a Tool Router session that gives your agent access to Google search console tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
```python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Google search console
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["google_search_console"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
```

### 6. Initialize the Pydantic AI Agent

What's happening:
- The MCP client connects to the Google search console endpoint
- The agent uses GPT-5 to interpret user commands and perform Google search console operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
google_search_console_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[google_search_console_mcp],
    instructions=(
        "You are a Google search console assistant. Use Google search console tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
```

### 7. Build the chat interface

What's happening:
- The agent reads input from the terminal and streams its response
- Google search console API calls happen automatically under the hood
- The model keeps conversation history to maintain context across turns
```python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Google search console.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
```

### 8. Run the application

What's happening:
- The asyncio loop launches the agent and keeps it running until you exit
```python
if __name__ == "__main__":
    asyncio.run(main())
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Google search console
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["google_search_console"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    google_search_console_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[google_search_console_mcp],
        instructions=(
            "You are a Google search console assistant. Use Google search console tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Google search console.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())
```

## Conclusion

You've built a Pydantic AI agent that can interact with Google search console through Composio's Tool Router. With this setup, your agent can perform real Google search console actions through natural language.
You can extend this further by:
- Adding other toolkits like Gmail, HubSpot, or Salesforce
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Google search console for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

## How to build Google search console MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/google_search_console/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/google_search_console/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/google_search_console/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/google_search_console/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/google_search_console/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/google_search_console/framework/codex)
- [Cursor](https://composio.dev/toolkits/google_search_console/framework/cursor)
- [VS Code](https://composio.dev/toolkits/google_search_console/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/google_search_console/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/google_search_console/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/google_search_console/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/google_search_console/framework/cli)
- [Google ADK](https://composio.dev/toolkits/google_search_console/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/google_search_console/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/google_search_console/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/google_search_console/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/google_search_console/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/google_search_console/framework/crew-ai)

## Related Toolkits

- [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management.
- [21risk](https://composio.dev/toolkits/_21risk) - 21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters.
- [Abstract](https://composio.dev/toolkits/abstract) - Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
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- [Ambee](https://composio.dev/toolkits/ambee) - Ambee is an environmental data platform providing real-time, hyperlocal APIs for air quality, weather, and pollen. Get precise environmental insights to power smarter decisions in your apps and workflows.
- [Ambient weather](https://composio.dev/toolkits/ambient_weather) - Ambient Weather is a platform for personal weather stations with a robust API for accessing local, real-time, and historical weather data. Get detailed environmental insights directly from your own sensors for smarter apps and automations.
- [Anonyflow](https://composio.dev/toolkits/anonyflow) - Anonyflow is a service for encryption-based data anonymization and secure data sharing. It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements.
- [Api ninjas](https://composio.dev/toolkits/api_ninjas) - Api ninjas offers 120+ public APIs spanning categories like weather, finance, sports, and more. Developers use it to supercharge apps with real-time data and actionable endpoints.
- [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots.
- [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches.
- [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. Developers use it to access fresh, low-latency SERP data on demand.
- [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance.
- [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows.
- [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses.
- [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. Get unified, reliable access to complex on-chain data for analytics, trading, and research.
- [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction.
- [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation.
- [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation.
- [Cabinpanda](https://composio.dev/toolkits/cabinpanda) - Cabinpanda is a data collection platform for building and managing online forms. It helps streamline how you gather, organize, and analyze responses.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Google search console MCP?

With a standalone Google search console MCP server, the agents and LLMs can only access a fixed set of Google search console tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Google search console and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Pydantic AI?

Yes, you can. Pydantic AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Google search console tools.

### Can I manage the permissions and scopes for Google search console while using Tool Router?

Yes, absolutely. You can configure which Google search console scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Google search console data and credentials are handled as safely as possible.

---
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