The SEO MCP server your agent keeps

// the tool nobody else has

Ask an AI engine anything. Get the citations back.

Every other SEO MCP server reads a database. This one can also run your prompt against a live AI engine and return what it said, who it cited, and the searches it ran to answer. That is the primitive AI visibility is built on, exposed as one tool call.

{
  "answerText": "For most remote teams the standouts are Linear, Asana and Notion...",
  "citations": [
    { "domain": "zapier.com",  "url": "https://zapier.com/blog/best-project-management-software/" },
    { "domain": "pcmag.com",   "url": "https://www.pcmag.com/picks/the-best-project-management-software" },
    { "domain": "reddit.com",  "url": "https://www.reddit.com/r/projectmanagement/..." }
  ],
  "webQueries": ["best pm tool remote teams 2026", "asana vs linear pricing"],
  "model": "gpt-5",
  "costUsd": 0.0125
}

// why now

Search moved into AI answers. Your data should too.

// connect

Connect it to your client in under a minute

Hosted server, one URL, OAuth or a scoped key. Pick your client, copy the block, done. Committed configs like .mcp.json give your whole team the same tools.

claude mcp add --transport http omnifamous https://omnifamous.com/api/mcp \
  --header "Authorization: Bearer sk_your_secret_key"

{
  "mcpServers": {
    "omnifamous": {
      "type": "http",
      "url": "https://omnifamous.com/api/mcp",
      "headers": {
        "Authorization": "Bearer sk_your_secret_key"
      }
    }
  }
}

Add --scope user to the command to make the server available in every project on your machine.

// the honest table

How it compares to the other SEO MCP servers

Fair fight: DataForSEO has the deepest raw catalog, the vendor servers make sense if you already pay for the seat, and the free GitHub servers exist so you can self-host. Here is where each one lands.

// pricing, in plain language

Reads are free. Creation and live data spend credits.

// faq

Questions people actually search

What is an SEO MCP server?

An SEO MCP server is a Model Context Protocol server that gives an AI coding agent real SEO data as callable tools. Instead of guessing search volumes, your agent calls the server and gets live keyword, SERP, backlink, audit and AI-visibility data back. You connect it once and every future session has it.

How do you use MCP for SEO?

Connect the server to your agent once with a config block, then ask in plain language. The agent picks the tools: it might call a keyword tool, then a SERP tool, then a drafting tool, in one turn. You never call a tool by hand.

What are the best SEO MCP servers?

It depends on what you already pay for. DataForSEO's server has the widest raw data catalog. Ahrefs and Semrush make sense if you hold a seat there. The free GitHub servers are fine for a single lookup. We are the one that runs an ad-hoc prompt against an AI engine and returns the citations, and the one that writes and publishes rather than only reading.

Is there a free SEO MCP server?

Several, and they are on GitHub. They wrap one data source, you run them locally, and you bring your own provider key. Ours is hosted with 10,000 free credits and no card, so the difference is whether you want to operate a server or just use one.

Is MCP just a fancy API?

It is a standard way to describe an API so a model can use it without custom glue. The tools declare their arguments and their return shape, the client discovers them at connect time, and the model decides which to call. The value is not the transport, it is that one config block works in every agent.

Does it work with Claude Code?

Yes, and that is the client we tune for. One claude mcp add command, or a .mcp.json you commit so your whole team gets the same tools. Cursor, Codex, VS Code, Windsurf, Zed, Cline, Gemini CLI, Hermes and n8n all get tested config too.

What is the difference between an MCP server, a skill and a plugin?

A skill is instructions, a plugin is a bundle, an MCP server is a service. Only the server can fetch a live search volume or run a prompt against ChatGPT, because only the server can make the call. Skills and plugins shape behaviour around it.

Can ChatGPT do SEO?

It can write, and it cannot measure. Ask it for a search volume and it will produce a confident, invented number. That is the exact gap an SEO MCP server closes: the model keeps the writing, the server supplies the facts.

Which AI engines can it query?

ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, Grok. You send a prompt, you get the answer, every citation with its URL, and the query fan-out the engine actually issued.

How does pricing work?

Reads of your own workspace are free and unmetered: your articles, your calendar, your keyword pool, your visibility history. Anything that creates content or buys live market data spends credits. Every account starts with 10,000 free credits.

Do I need an API key?

Not for the connector flow, which signs you in through your browser. If you prefer a config file, create a secret key in Settings under MCP & API and paste it into the snippet.

Can autonomous agents pay without a human account?

That is what we are building toward. The server is designed to accept per-call payment so an agent can buy exactly what it needs, and to fall back to a free preview plus a checkout link when it cannot pay.