MCP Server Overview

The Rampify MCP (Model Context Protocol) server brings real-time SEO intelligence directly into your AI coding tools like Cursor and Claude Code.

What is MCP?

The Model Context Protocol (MCP) is an open standard developed by Anthropic that enables AI assistants to connect with external tools and data sources. Think of it as a standardized way for your AI coding assistant to access specialized capabilities.

Why MCP for SEO?

Traditional SEO workflow:

Write code → Deploy → Check GSC weeks later → Find issues → Fix → Redeploy

With Rampify MCP:

Write code → Ask AI to check SEO → Get instant feedback → Fix before deploy

No context switching. SEO insights right where you code.

How It Works

  1. Install the MCP server on your machine
  2. Configure your editor (Cursor, Claude Code, etc.)
  3. Start coding - ask your AI assistant SEO questions
  4. Get instant answers from your Rampify data

Example Conversations

Check SEO status:

You: "What's the current SEO status of example.com?"

AI: *Uses get_seo_context() tool*
"Your site has 247 URLs with 230 indexed. I found 3 critical issues:
- 2 pages returning 404 errors
- 1 redirect chain that should be fixed
Would you like me to show you the details?"

Generate meta tags:

You: "Generate optimized meta tags for this blog post"

AI: *Uses generate_meta() tool*
"Here are optimized meta tags:

Title: Next.js SEO Best Practices: Complete Guide for 2025
Meta: Learn proven Next.js SEO techniques including metadata...

The title includes your target keyword and year for freshness.
Want me to update the file with these tags?"

Pre-deployment check:

You: "Check if my changes have any SEO issues before I deploy"

AI: *Uses check_before_deploy() tool*
"I found 1 warning:
- Your new blog post has no internal links

Recommendation: Add 2-3 links to related content.
Otherwise, safe to deploy!"

Available Tools

Core Tools (All Tiers)

get_seo_context()

  • View indexing status
  • See recent issues
  • Check top queries (Starter+)
  • Monitor site health

scan_site()

  • Trigger full site scan
  • Discover new pages
  • Check for issues
  • Update dashboard data

generate_meta()

  • AI-powered title generation
  • Optimized descriptions
  • Keyword optimization
  • Multiple alternatives

Advanced Tools

check_before_deploy() (Starter+)

  • Pre-deployment SEO checks
  • File change analysis
  • Safety recommendations
  • Deploy confidence score

suggest_internal_links() (Pro only)

  • AI-powered link suggestions
  • Contextual relevance scoring
  • Anchor text recommendations
  • Link placement hints

Supported Editors

Cursor

Full support with native MCP integration:

  • Tool suggestions
  • Inline results
  • Multi-step workflows
  • Background execution

Claude Code

Complete MCP compatibility:

  • All tools available
  • Real-time data access
  • Persistent sessions
  • Error handling

Other MCP Clients

Any MCP-compatible client can use Rampify:

  • Zed Editor (coming soon)
  • Continue.dev
  • Custom implementations

Key Features

Real-Time Data

Get live data from your Rampify account:

  • Current indexing status
  • Latest site scans
  • Recent issues
  • Search query performance

Contextual Intelligence

AI understands your SEO context:

  • Recommends fixes based on issues
  • Suggests improvements proactively
  • Learns from your site patterns
  • Adapts to your content strategy

Zero Context Switching

Stay in your editor:

  • No need to open dashboard
  • No browser tab switching
  • No copy-paste workflows
  • Seamless integration

Getting Started

Quick start in 3 steps:

  1. Install the server:

    npm install -g @rampify/mcp-server

  2. Get your API key:

  3. Configure your editor:

    {
  "mcpServers": {
    "rampify": {
      "command": "npx",
      "args": ["-y", "@rampify/mcp-server"],
      "env": {
        "RAMPIFY_API_KEY": "your-key-here"
      }
    }
  }
}

See Installation Guide for detailed instructions.

Best Practices

When to Use MCP Tools

During development:

  • Check SEO before committing
  • Generate meta tags for new pages
  • Verify internal links
  • Test schema markup

Before deployment:

  • Run pre-deployment checks
  • Verify no broken links
  • Confirm meta tags present
  • Check indexing status

After deployment:

  • Trigger site scan
  • Monitor indexing
  • Track query performance
  • Review new issues

Workflow Integration

In your dev workflow:

1. Write new blog post
2. Ask AI: "Generate meta tags for this post"
3. Ask AI: "Check for SEO issues"
4. Fix any warnings
5. Ask AI: "Safe to deploy?"
6. Deploy with confidence

Troubleshooting

"MCP server not responding"

Check:

  • API key is correct
  • Server is installed (npm list -g @rampify/mcp-server)
  • Editor configuration is correct

"Domain not found"

Ensure:

  • Domain is added to your Rampify account
  • Using correct domain format (no protocol)
  • You have access to the domain

"Rate limit exceeded"

Solutions:

  • Wait for rate limit to reset
  • Upgrade to higher tier
  • Reduce tool call frequency

Next Steps