MCP Server for SEO: Give Your AI Agents Real Data

The agentic SEO problem

You're in Claude Code. You say "write 10 blog posts for my SaaS." Claude generates 10 plausible-sounding titles. But are they the right 10? Does Claude know which keywords have volume? Which topics your competitors already dominate? Where AI models are citing alternative sources?

No. It's guessing. Intelligently, but still guessing. That's the agentic SEO problem — agents are great at execution but blind at strategy.

What is MCP?

Model Context Protocol (MCP) is an open standard that lets AI agents call external tools and data sources. Think of it as giving your AI agent superpowers — instead of relying on its training data, it can query live APIs, databases, and services.

An MCP server for SEO means your AI agent can access keyword data, competitor analysis, AI visibility scores, and content strategy — as native tools it calls during conversation.

AgenticPencil MCP server

AgenticPencil exposes its full SEO API as an MCP server. Available tools:

get_content_map

Pass a domain, get a prioritized content plan. The agent receives a structured list of what to write, why, and in what order — based on keyword data, competitor gaps, and AI citation gaps.

check_ai_visibility

Check how AI models surface a domain or specific page. Returns visibility scores across ChatGPT, Perplexity, Gemini, Google AI Mode, and Copilot.

audit_sitemap

Analyze a domain's sitemap for cannibalization, thin content, and internal competition. Returns specific fix recommendations.

analyze_competitors

Cross-analyze up to 10 competitors to find content gaps, share-of-voice differences, and opportunities both sides are missing.

Setup with Claude Code

Add AgenticPencil to your Claude Code MCP configuration:

{
  "mcpServers": {
    "agenticpencil": {
      "command": "npx",
      "args": [
        "@agenticpencil/mcp-server"
      ],
      "env": {
        "AGENTICPENCIL_API_KEY": "your-api-key"
      }
    }
  }
}

Then just ask Claude: "What should I write next for mysite.com?" It calls AgenticPencil's tools and returns a data-driven content plan.

The agentic content workflow

With AgenticPencil as an MCP server, your AI agent can run the full content lifecycle:

1. Strategy — Agent calls get_content_map to get a prioritized list of what to write
2. Audit — Agent calls audit_sitemap to check for cannibalization before creating new content
3. Write — Agent generates content for the highest-priority items
4. Publish — Agent pushes to CMS (Webflow, etc.)
5. Monitor — Agent calls check_ai_visibility to track citation performance over time

No dashboard. No manual research. The agent handles the entire workflow, grounded in real data.

Get started

Get an API key and connect AgenticPencil to your agent in minutes. 150 free credits included.

Frequently asked questions