How to Use the Google Search Console MCP in CrewAI
Deploy a crew of specialized SEO agents to monitor, diagnose, and fix indexation issues using CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Google Search Console MCP to CrewAI
Create your Vinkius account to connect Google Search Console to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Multi-agent search analytics auditing
Querying traffic data with `query_search_analytics` lets specialized CrewAI agents collaborate on your Google Search Console performance. An analyst CrewAI agent pulls the raw Search Console metrics, while a strategist agent compares the numbers against your active sitemaps. CrewAI coordinates this entire Search Console exchange using shared memory. The CrewAI agents pass findings back and forth to isolate why specific URLs are dropping in Google search impressions.
Autonomous indexing diagnostics with CrewAI
Calling `inspect_url` allows a monitor agent in your CrewAI team to identify indexation errors and pass bad URLs to a technical agent. This diagnostic CrewAI team runs Search Console checks without human intervention using this MCP Server. This technical CrewAI agent uses `get_sitemap` to verify if the broken pages are correctly listed in your Search Console. The CrewAI crew works sequentially to resolve these Search Console crawl errors before writing a final report.
Automated sitemap management for large crews
Listing active sitemaps using `list_sitemaps` and removing stale files with `delete_sitemap` allows you to manage thousands of programmatic pages across multiple Google Search Console domains using CrewAI. The CrewAI agents coordinate these Search Console actions autonomously. The CrewAI team uses `submit_sitemap` to push fresh XML feeds whenever content updates in your Search Console. This ensures your Google search index matches your database without manual CrewAI developer tasks.
Set up Google Search Console MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Google Search Console tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Google Search Console Analyst",
goal="Access and analyze Google Search Console data via MCP.",
backstory="Expert analyst with direct Google Search Console access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Google Search Console transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Google Search Console Analyst",
goal="Access and analyze Google Search Console data via MCP.",
backstory="Expert analyst with direct Google Search Console access.",
tools=mcp_tools,
)
task = Task(
description="List recent Google Search Console transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Google Search Console. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Google Search Console MCP in CrewAI
Use it with your favorite AI tools
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