Surfer SEO MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Surfer SEO through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Surfer SEO, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Surfer SEO MCP Server
Bring industry-leading organic search optimization strategies dynamically into your conversational workflows with the Surfer SEO MCP connector. By empowering your LLM to act as a data-driven SEO strategist, you can instantly instantiate new Content Editors, analyze competitors’ prominent NLP terms, and generate full structural audits for any live URL directly from the prompt line. Prevent constant web navigation friction by programmatically evaluating metrics such as precise word counts and real-time Content Scores natively where your content is written.
The Vercel AI SDK gives every Surfer SEO tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Live Audits & Optimization — Rapidly inspect published pages analyzing structural deficits utilizing
create_seo_auditand systematically reviewing results withget_audit_details. - Content Editor Workflows — Initiate fresh NLP-guided writing templates invoking
create_content_editorand fetch essential prominent keywords operatingget_content_editor_details. - Deep SERP Analysis — Launch statistical data runs commanding
create_serp_analyzer, evaluating competing structures seamlessly withget_serp_resultsandget_prominent_terms. - Real-Time Scoring Tests — Query strict Content Scores across created drafts ensuring structural optimization organically deploying
get_content_score.
The Surfer SEO MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Surfer SEO to Vercel AI SDK via MCP
Follow these steps to integrate the Surfer SEO MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Surfer SEO and passes them to the LLM
Why Use Vercel AI SDK with the Surfer SEO MCP Server
Vercel AI SDK provides unique advantages when paired with Surfer SEO through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Surfer SEO integration everywhere
Built-in streaming UI primitives let you display Surfer SEO tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Surfer SEO + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Surfer SEO MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Surfer SEO in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Surfer SEO tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Surfer SEO capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Surfer SEO through natural language queries
Surfer SEO MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Surfer SEO to Vercel AI SDK via MCP:
create_content_editor
Provide a keyword and country code. This is an async operation. Create a Surfer SEO Content Editor query
create_seo_audit
Provide the full URL and target keyword. Creates a Surfer SEO Audit for a live URL
create_serp_analyzer
Creates a SERP Analyzer query to identify ranking factors
get_audit_details
Retrieves details for a specific SEO audit
get_content_editor_details
Retrieves Content Editor content and guidelines
get_content_score
Retrieves the current optimization score for a Content Editor entry
get_prominent_terms
Retrieves NLP-extracted prominent terms from SERP analysis
get_serp_results
Retrieves SERP Analyzer search results
list_content_editors
Lists all Content Editor queries in the account
list_seo_audits
Lists all SEO audits performed in the account
Example Prompts for Surfer SEO in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Surfer SEO immediately.
"Analyze the URL 'example.com/blog' using the live API and report the content score alongside any missing prominent keywords."
"Launch a SERP Analyzer for 'best CRM software' targeting the US market."
"Create a Content Editor draft for the keyword 'how to invest in stocks' with a target score of 75."
Troubleshooting Surfer SEO MCP Server with Vercel AI SDK
Common issues when connecting Surfer SEO to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSurfer SEO + Vercel AI SDK FAQ
Common questions about integrating Surfer SEO MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Surfer SEO with your favorite client
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Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Surfer SEO to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.