How to Use the Surfer SEO MCP in Pydantic AI

Q: What should I use first when starting content with Pydantic AI and Surfer SEO?

Start by listing what's available using listcontenteditors. This lets you see all previous queries in your account before generating a new one.

Q: Does the MCP Server support auditing with Pydantic AI?

Yep. You use createseoaudit to run the audit, and then getauditdetails pulls the results into validated objects for your agent to process.

Q: How do I get a list of all Surfer SEO audits with Pydantic AI?

Just call listseoaudits. The structured output means you can write code that expects exactly the data format you need for processing.

Surfer SEO for Pydantic AI: Type-safe validation for critical content data.

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Connect Surfer SEO MCP to Pydantic AI

Create your Vinkius account to connect Surfer SEO to Pydantic AI — 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 Pydantic AI

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Validate Content Scores and Guidelines

When your agent pulls a score using `get_content_score`, the Pydantic framework validates the output type. If Surfer SEO returns unexpected data, the whole process fails loudly. This means you never get corrupted results.

Structure Content Edits with Type Safety

Using `create_content_editor` is rock-solid because Pydantic validates every step. You provide a keyword and country code, and the expected structure of the returned content guidelines is guaranteed.

Analyze Search Results with Confidence

The tool `get_serp_results` retrieves search result data that your agent validates against strict models. This prevents hallucination—you know exactly what you're getting from the MCP Server every time.

Setup guide

Set up Surfer SEO MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "surfer-seo-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Surfer SEO tools.",
)

result = await agent.run("List recent Surfer SEO transactions")
print(result.output)

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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.

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Common questions about Surfer SEO MCP in Pydantic AI

The framework validates the data types at runtime. If the API returns something wrong, your agent fails with a clear validation error—no silent corruption.

Start by listing what's available using `list_content_editors`. This lets you see all previous queries in your account before generating a new one.

Yep. You use `create_seo_audit` to run the audit, and then `get_audit_details` pulls the results into validated objects for your agent to process.

Just call `list_seo_audits`. The structured output means you can write code that expects exactly the data format you need for processing.

It validates text strings (keywords, terms) and numerical content scores. The type safety ensures these fields are always correct.

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