How to Use the Surfer SEO MCP in Google ADK

Q: What tools are available in this MCP Server for Google ADK?

The server offers ten specific tools, including getserpresults and listseoaudits. The agent auto-discovers them when you set up the toolset.

Q: What is the best workflow for Surfer SEO content creation using Google ADK?

Start by running a basic audit with createseoaudit to gather initial data. Then, use that information to create an editor query via createcontenteditor.

Surfer SEO for Google ADK: Scale your content strategy across BigQuery and Vertex AI.

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Connect Surfer SEO MCP to Google ADK

Create your Vinkius account to connect Surfer SEO to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Surfer SEO with Google ADK

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Audit Content Against Top Competitors

When you use the `create_seo_audit` tool, your agent runs a deep check on any URL. It maps out key competitive terms using Surfer SEO data. You can then pull all the specifics later by running `get_audit_details`.

Manage and Track Content Drafts

Need to keep track of everything? Your agent uses `create_content_editor` to set up new content queries. You can list these jobs using `list_content_editors`, so nothing gets lost in the Google Cloud logs.

Find Missing Keywords for MCP Server

The tool `get_prominent_terms` pulls out natural language processing (NLP) terms from a SERP analysis. This helps your team ensure they aren't missing any crucial vocabulary that the top-ranking pages use.

Setup guide

Set up Surfer SEO 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

Install Google ADK

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

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

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 Surfer SEO 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="Surfer SEO_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Surfer SEO tools via MCP.",
    tools=mcp_tools,
)

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

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Common questions about Surfer SEO MCP in Google ADK

Your agent calls the MCP Server tools directly. Since it integrates with BigQuery, you can run audits and process results at massive scale.

It's a score that tells your team how optimized the content is against Surfer SEO standards. It’s a quick metric to judge if the piece is ready for publication.

The server offers ten specific tools, including `get_serp_results` and `list_seo_audits`. The agent auto-discovers them when you set up the toolset.

Start by running a basic audit with `create_seo_audit` to gather initial data. Then, use that information to create an editor query via `create_content_editor`.

It handles content scores (numerical) and keyword/term lists (text strings), which are the core outputs from Surfer SEO analysis.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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