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How to Use the Surfer SEO MCP in Vercel AI SDK

Get real-time SEO audit data streaming into your frontend using the ai-sdk.

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Works with every AI agent you already use

…and any MCP-compatible client

Surfer SEO MCP on Cursor AI Code Editor MCP Client Surfer SEO MCP on Claude Desktop App MCP Integration Surfer SEO MCP on OpenAI Agents SDK MCP Compatible Surfer SEO MCP on Visual Studio Code MCP Extension Client Surfer SEO MCP on GitHub Copilot AI Agent MCP Integration Surfer SEO MCP on Google Gemini AI MCP Integration Surfer SEO MCP on Lovable AI Development MCP Client Surfer SEO MCP on Mistral AI Agents MCP Compatible Surfer SEO MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect Surfer SEO MCP to Vercel AI SDK

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

GDPR Included with Plan

Key Capabilities

Monitor content scores with ai-sdk

Use `create_content_editor()` to generate an async query for a keyword and country code. You don't have to wait—you can then poll the system using `get_content_score()` to see how close your draft is getting to Surfer SEO guidelines. This streaming capability means users actually *see* the score change in real-time, not just after hitting a 'Load Data' button. The full flow allows you to guide content creation directly within your application.

Run live audits with ai-sdk

Need to check an existing page? Call `create_seo_audit()` passing the URL and target keyword. This starts a comprehensive audit for Surfer SEO data, which you then track down using `get_audit_details()`. You get instant verification that your content stacks up against competitors. Once the audit runs, you can use `get_serp_results()` to pull back the actual search engine results page data. This lets your agent build a full picture of what Google is currently rewarding.

Extract key terms with ai-sdk

Surfer SEO provides more than just scores; it pulls out specific phrases that matter. You can call `get_prominent_terms()` after an audit finishes to get a clean list of NLP-extracted keywords. These are the high-impact, natural language terms you should weave into your article. This data feeds directly into your client's UI, showing exactly where they need more keyword density or thematic coverage to hit top rankings. It keeps the developer focused on actionable text insertions.

Setup guide

Set up Surfer SEO MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Surfer SEO tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Surfer SEO transactions",
});

console.log(text);
await mcpClient.close();

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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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.

Built-in savings

60%

lower AI costs

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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 Vercel AI SDK

You first call `create_content_editor()` to start the background job. Then, your client can repeatedly call `get_content_score()` until the result meets your target threshold. It’s all designed to stream live data into the user interface.
Start by calling `create_seo_audit()` with the full URL and keyword. You'll get an ID back, which you use immediately with `get_audit_details()` to track its progress.
Absolutely. After running any audit or creating an editor, your agent can retrieve the results—like prominent terms via `get_prominent_terms()`—and display them in real time as they appear.
The SDK supports managing asynchronous calls, giving you control over how often your agent polls for updates. This helps prevent hitting standard API key limits during heavy usage.
This server handles content guidelines and search engine results page (SERP) data, which are structured text strings.

Start using the Surfer SEO MCP today

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