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How to Use the ContentKing MCP in Google ADK

Feed live ContentKing SEO data directly to your Google ADK enterprise agents for instant BigQuery analysis.

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Google ADK

Connect ContentKing MCP to Google ADK

Create your Vinkius account to connect ContentKing to Google ADK 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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Track entire portfolios with Google ADK

The `get_portfolio_summary` tool gives your Google ADK agent a high-level overview of health scores across all your monitored domains. It fetches the macro metrics in one shot. If a specific domain looks bad, the agent uses `list_websites` to map out the entire inventory. This fits perfectly with Gemini's massive context window, letting you feed whole portfolio histories into a single reasoning step.

Deep search pages using this MCP Server

This MCP Server provides the `search_pages_by_url` tool so your agent can pinpoint specific pages by keyword. It bypasses manual UI searches entirely. The agent then calls `list_monitored_pages` to extract raw performance and status data for those URLs. This lets you pipe clean page metrics straight into Vertex AI or BigQuery for enterprise reporting.

Enterprise-scale issue triage with Gemini

The `list_seo_issues` tool pulls a complete log of active site issues into your Google ADK agent. It exposes things like broken redirects and schema errors. Your agent inspects the critical failures using `get_issue_details`. Because Gemini handles huge context, it can analyze hundreds of issues at once to find systemic patterns across your cloud infrastructure.

Setup guide

Set up ContentKing MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with ContentKing tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="ContentKing_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ContentKing tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ContentKing. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ContentKing MCP in Google ADK

You use the `McpToolset` class with your Vinkius HTTP endpoint. Pass this toolset directly to your `LlmAgent` to let Gemini native tools discover the SEO capabilities. This makes setting up your MCP integration incredibly simple.
Yes, you can write a custom tool or pipeline where the agent fetches raw issues using ContentKing tools and pipes the structured JSON payload directly into BigQuery.
Yes, you can use the `tool_names` parameter in your `StreamableHttpServerParameters` to restrict which MCP tools your enterprise agent can see and run.
Vinkius manages the underlying credentials. Your agent only needs one endpoint token to securely access all ten tools without managing API keys in your application code.
Absolutely. All traffic passes through encrypted HTTPS connections, and the MCP Server operates in a temporary, ephemeral container that self-destructs the moment your agent finishes its run. Your website health scores and crawl details are never cached or logged by Vinkius.

Start using the ContentKing MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for ContentKing. Just plug in your AI agents and start using Vinkius.

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All 10 tools are live and waiting. You're up and running in seconds.

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