How to Use the Surfer SEO MCP in OpenAI Agents SDK
Surfer SEO for OpenAI Agents SDK: Turn raw content ideas into rankable assets.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Surfer SEO MCP to OpenAI Agents SDK
Create your Vinkius account to connect Surfer SEO to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Generate Content Structure and Guidelines
To start a piece, your agent calls `create_content_editor`. This sets up the core query using just a keyword and country code. After that, you'll use `get_content_score` to see how close your draft is to Surfer SEO’s recommended guidelines.
Run Detailed URL Performance Checks
When your agent calls `create_seo_audit`, it hits up Surfer SEO. You get a full breakdown of what's working and what needs tweaking for that specific URL. Don't forget to run `get_audit_details` later; that pulls all the granular results.
Extract Key Ranking Terms
Need to know what phrases Google cares about? The agent runs `create_serp_analyzer`, and you can then grab top terms using `get_prominent_terms`. This helps your team nail the language competitors are ranking for.
Set up Surfer SEO MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Surfer SEO tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Surfer SEO tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Surfer SEO tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Surfer SEO Agent",
instructions="You have access to Surfer SEO tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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
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 Surfer SEO MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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