How to Use the Surfer SEO MCP in Mastra AI

Q: What is the best practice for running Surfer SEO checks with mastra-ai?

Build a workflow where createseoaudit() runs first. Then, use conditional logic to check if the result meets minimum thresholds before proceeding to call getcontenteditordetails.

Build reliable, multi-step SEO workflows using the mastra-ai framework.

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Setup Surfer SEO with Mastra AI

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Automated audit workflows with mastra-ai

You can build a complex workflow that first calls `create_seo_audit()` for a URL. If the initial score is low, the next step automatically triggers a content editor query using `create_content_editor()`. This handles the entire remedial process from one command. If either tool fails—say, the API rate limits hit—the mastra-ai framework automatically retries with exponential backoff. You don't write that failure logic; the workflow engine takes care of it.

Conditional content analysis for mastra-ai

Need to check an audit only if certain keywords are missing? Use conditional branching in your workflow. Your process runs `create_serp_analyzer()` first, checks the results for specific ranking factors, and *only* proceeds to call `get_content_editor_details` if those factors aren't present. This capability means you build smart, failure-proof systems that only act when necessary. It's perfect for complex editorial pipelines.

Managing Surfer SEO state with mastra-ai

The framework keeps track of every running query, which is crucial for multi-step processes. You can list all active audits via `list_seo_audits()` and then retrieve specific results using `get_audit_details()`. This provides a single source of truth for your entire content pipeline. It manages the state transition: from 'Audit Initiated' to 'Details Ready,' ensuring no step is lost, even if the network hiccups.

Setup guide

Set up Surfer SEO MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Surfer SEO tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "surfer-seo-mcp-client",
  servers: {
    "surfer-seo-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Surfer SEO Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Surfer SEO tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Surfer SEO transactions"
);
console.log(result.text);

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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 Mastra AI

You define a sequence of actions: audit, check score, then edit. The mastra-ai engine manages the handoffs between these tools and automatically retries if any step fails unexpectedly.

Yes. Because of its built-in failure handling, you can trust that your core audit logic remains intact even if external API calls don't respond perfectly the first time.

Build a workflow where `create_seo_audit()` runs first. Then, use conditional logic to check if the result meets minimum thresholds before proceeding to call `get_content_editor_details`.

It does. The framework supports exponential backoff and automatic retries, which makes your complex workflows far more resilient to temporary API throttling than standard scripts.

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