MCP Server Overview

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

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.

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_page_seo() 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?"

Content opportunities:

You: "What should I write next based on my GSC data?"

AI: *Uses get_gsc_insights() tool*
"Based on your search query performance, I found 3 opportunities:
1. 'Next.js SEO' - You rank #4 with low CTR (expand existing content)
2. 'Schema markup tutorial' - Position #12 (create comprehensive guide)
3. 'Semrush alternatives' - 200+ impressions, 0 clicks (comparison post)

Want me to help you outline any of these?"

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

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

Next Steps

Install the MCP Server

Get started with installation, configuration, and verification for Cursor, Claude Code, and other MCP-compatible editors.

Read more

Available MCP Tools

Explore all 6 Rampify MCP tools: get_page_seo(), get_issues(), get_gsc_insights(), generate_schema(), generate_meta(), and crawl_site().

Read more

Troubleshooting Guide

Fix common issues: authentication errors, connection problems, GSC integration, and editor-specific configuration.

Read more