How to Use the Surfer SEO MCP in AutoGen

Q: Can I compare multiple audits using Surfer SEO and AutoGen?

Sure thing. You can list several past reports with listseoaudits and force two agents to debate which historical audit represents the current best practice for your niche.

Q: Which tools are key in the Surfer SEO and AutoGen setup?

The core tools here are createseoaudit, which starts it all, and getserpresults to give agents granular data for debate.

Q: What specific data does Surfer SEO and AutoGen manage?

It manages raw search results (getserpresults), audit details, and content guidelines. These structured data points are what the debating agents argue over to reach a final decision.

Force multi-agent debate on Surfer SEO best practices using AutoGen's CONVERSATION framework.

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Connect Surfer SEO MCP to AutoGen

Create your Vinkius account to connect Surfer SEO to AutoGen — 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 AutoGen

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Debating Content Strategy with the MCP Server

You can set up a discussion where one agent runs `create_seo_audit` and another agent critiques the results. This forces consensus on whether the initial audit data is sufficient or if more investigation (like running `get_serp_results`) is needed.

Validating SEO requirements for AutoGen

Use `get_audit_details` to provide concrete evidence during an agent debate. If one agent suggests a change, another can challenge that suggestion by pulling the precise data points from the audit report.

Automating Surfer SEO MCP Server calls for AutoGen

The `create_content_editor` tool lets multiple agents collaborate on a single piece of content. One agent writes the draft, and another uses this endpoint to refine it based on keyword density rules.

Setup guide

Set up Surfer SEO MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Surfer SEO tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Surfer SEO_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Surfer SEO data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Surfer SEO_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Surfer SEO data")
    print(result.messages[-1].content)

Get your connection token →

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.

Connect Surfer SEO now

Real-time monitoring

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visibility into every interaction

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

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60%

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

Common questions about Surfer SEO MCP in AutoGen

You initiate a debate by having agents analyze an audit report using `get_audit_details`. The disagreement itself is the value, leading to a more robust conclusion than any single agent could reach.

It takes URLs and target keywords as primary inputs for auditing. Then it generates complex outputs that fuel the conversation between your competing agents.

Sure thing. You can list several past reports with `list_seo_audits` and force two agents to debate which historical audit represents the current best practice for your niche.

The core tools here are `create_seo_audit`, which starts it all, and `get_serp_results` to give agents granular data for debate.

It manages raw search results (`get_serp_results`), audit details, and content guidelines. These structured data points are what the debating agents argue over to reach a final decision.

Use it with your favorite AI tools

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