The best SEO MCP server for GitHub Copilot

Copilot already writes your code. With live keyword, backlink and AI-visibility tools it can also tell you which keywords are worth writing for, which ones a competitor wins that you do not, and who links to them.

Live now: the MCP server, the free AI visibility audit and the keyword tools. Copilot is the client, VS Code is the host: the config lives in VS Code's mcp.json but the tools only surface inside Copilot Chat, and only in Agent mode.

Setup

Add the SEO MCP server to GitHub Copilot

Copilot is the client, VS Code is the host: the config lives in VS Code's mcp.json but the tools only surface inside Copilot Chat, and only in Agent mode.

Fastest: let GitHub Copilot do it

Paste this in and it reads our skill, then writes its own config in the format GitHub Copilot expects.

Read https://omnifamous.com/mcp/skill.md and set up the OMNIFAMOUS SEO MCP server for this project, then use it to audit my site's search and AI visibility.

Command line (recommended)

  1. Run the command below in your terminal
  2. Start the server and allow VS Code to authenticate when it asks
  3. Sign in to OMNIFAMOUS in the browser, pick a workspace and choose Editor or Viewer access
code --add-mcp '{"name":"omnifamous","type":"http","url":"https://mcp.omnifamous.com"}'

With an API key

  1. Create .vscode/mcp.json in your workspace
  2. Paste the configuration below and save
  3. Click Start above the server entry in the editor

.vscode/mcp.json

{
  "servers": {
    "omnifamous": {
      "type": "http",
      "url": "https://mcp.omnifamous.com",
      "headers": {
        "Authorization": "Bearer sk_your_workspace_key"
      }
    }
  }
}

MCP requires GitHub Copilot Chat in Agent mode. VS Code uses servers, not mcpServers, as the top-level key.

What you get

Connecting omnifamous to GitHub Copilot

Every surface of the engine, as tools your agent can call mid-conversation.

MCP server

Live now

Add the server URL to VS Code's mcp.json, sign in, then switch Copilot to Agent mode. GitHub Copilot gets the full tool catalog: keyword ideas, traffic estimates, backlinks, competitor gaps, page checks and AI visibility.

AI visibility tools

Live now

Check whether ChatGPT, Claude, Gemini and Perplexity mention a brand on a sample of questions, and read your saved AI Visibility monitoring results: answers, cited domains and trend.

Free audit and keyword tools

Live now

Anonymous AI visibility audit and keyword research at /tools/seo-audit, no login required.

Public API

Live now

The page-check and speed-audit tools also have plain HTTP endpoints, so you can script them without an MCP client. Keyword, traffic, backlink and gap data is MCP only.

What we do for you

We do the SEO work, not hand you another dashboard

Whichever way you connect, the omnifamous engine does the heavy lifting for your brand.

Audits your AI visibility so you can see which prompts name your brand and which name a competitor.

Researches winnable keywords for your market with real search data behind every pick.

Compares your keywords and backlinks against a competitor so you know what to write next.

With the AI Visibility plan, reads your scheduled monitoring results so you can prove the trend as content ships.

How it works

From GitHub Copilot to ranking content

Four steps. You stay the editor, the engine handles the rest.

1

Add the server to GitHub Copilot. Add the server URL to VS Code's mcp.json, sign in, then switch Copilot to Agent mode.

2

Ask in plain language. The agent picks the tools, so you never call one by hand.

3

Review the research. Every number comes from a live data provider, not from the model.

4

Decide what to ship. You stay the editor while the tools supply the numbers.

FAQ

Questions, answered

Everything you need to know about how the engine does the work for you.

Yes. Add the server URL to VS Code's mcp.json, sign in, then switch Copilot to Agent mode. Once it is connected, GitHub Copilot can research keywords, estimate traffic, check backlinks, compare keyword gaps against a competitor, inspect pages, and check whether ChatGPT, Claude, Gemini and Perplexity mention your brand.

Copilot is the client, VS Code is the host: the config lives in VS Code's mcp.json but the tools only surface inside Copilot Chat, and only in Agent mode. The exact config block for GitHub Copilot is on this page, ready to copy.

Yes, through its host editor. In VS Code you register the server in mcp.json and the tools appear in Copilot Chat when it is in Agent mode. Ask mode does not call tools.

You need Copilot Chat, which is what exposes agent mode and tool calling. The omnifamous side works the same on any plan.

Because it will make the numbers up. Language models routinely invent search volumes, difficulty scores and competitor rankings that look plausible and are wrong. Every number our tools return comes from a live data provider or your own workspace.

Page inspection and robots/sitemap checks are free without a key, broken-link checks are free with a key, and reads of your saved AI-visibility data cost no credits (they need the AI Visibility plan). Tools that buy live market data spend workspace credits at a published per-call price, charged only on a successful answer. There is no signup credit grant.

Two ways. On demand, ai_visibility_run_scan asks ChatGPT, Claude, Gemini and Perplexity three questions about your domain and reports whether your brand appears. For tracking, the AI Visibility plan scans your own prompts on a schedule, and the workspace read tools return those saved answers, cited domains and trends to your agent.

Still have questions? Talk to us

More agent runtimes

Run omnifamous from the tools you already use

Same engine, wherever your agent lives. See how it connects to each runtime.

Stop letting GitHub Copilot guess at SEO

Connect the server and it works from real keyword, SERP, backlink and AI-visibility data instead of numbers it invented. Start with the free audit, no account and no card.

Run my free auditNo credit card required. Results in under 5 minutes.