Ubersuggest MCP Server

Ubersuggest MCP Server

An MCP server that integrates Neil Patel's Ubersuggest SEO platform with Cursor IDE, enabling AI-assisted SEO analysis directly within your development environment.

Category
Visit Server

Tools

ubersuggest_domain_overview

Get comprehensive domain analysis including traffic and ranking data

ubersuggest_keyword_research

Research keywords with volume, difficulty, and competition data

ubersuggest_site_audit

Perform comprehensive site audit for technical SEO issues

ubersuggest_traffic_estimation

Estimate organic traffic potential for a domain

README

Ubersuggest MCP Server

An MCP (Model Context Protocol) server that integrates Neil Patel's Ubersuggest SEO platform with Cursor IDE, enabling AI-assisted SEO analysis directly within your development environment.

Features

  • Domain Overview: Comprehensive domain analysis including traffic and ranking data
  • Keyword Research: Research keywords with volume, difficulty, and competition metrics
  • Site Audit: Perform technical SEO audits to identify optimization opportunities
  • Traffic Estimation: Estimate organic traffic potential for domains

Prerequisites

  • Node.js v16 or higher
  • Ubersuggest account credentials
  • Cursor IDE with MCP support

Installation

  1. Clone the repository:
git clone https://github.com/yourusername/mcp-ubersuggest.git
cd mcp-ubersuggest
  1. Install dependencies:
npm install
  1. Create a .env file based on .env.example:
cp .env.example .env
  1. Add your Ubersuggest credentials to .env:
UBERSUGGEST_USERNAME=your-email@example.com
UBERSUGGEST_PASSWORD=your-password

Usage

Running the MCP Server

npm start

For development with auto-reload:

npm run dev

Configuring Cursor IDE

Add the following to your Cursor IDE's MCP configuration:

{
  "mcpServers": {
    "ubersuggest-seo": {
      "command": "node",
      "args": ["/path/to/mcp-ubersuggest/src/index.js"],
      "env": {
        "UBERSUGGEST_USERNAME": "your-email@example.com",
        "UBERSUGGEST_PASSWORD": "your-password"
      }
    }
  }
}

Available Tools

1. Domain Overview

ubersuggest_domain_overview
- Analyzes domain performance metrics
- Parameters: domain (required), country (optional)

2. Keyword Research

ubersuggest_keyword_research
- Researches keywords with detailed metrics
- Parameters: keyword (required), language (optional), location (optional)

3. Site Audit

ubersuggest_site_audit
- Performs technical SEO audit
- Parameters: url (required), pages_limit (optional)

4. Traffic Estimation

ubersuggest_traffic_estimation
- Estimates organic traffic potential
- Parameters: domain (required), period (optional)

Legal Notice

⚠️ IMPORTANT: This is an unofficial integration that uses reverse-engineered endpoints. Using this tool may violate Ubersuggest's Terms of Service. Users are responsible for:

  • Reviewing and complying with Ubersuggest's Terms of Service
  • Understanding the legal risks of web scraping
  • Using conservative rate limits to minimize server impact
  • Accepting all risks associated with using this unofficial integration

Security Considerations

  • Credentials are stored in environment variables
  • All API communications use HTTPS
  • Rate limiting is implemented to prevent detection
  • Session tokens are managed securely

Contributing

Contributions are welcome! Please read our contributing guidelines before submitting PRs.

License

MIT License - see LICENSE file for details

Support

For issues and questions, please use the GitHub issue tracker.

Disclaimer

This project is not affiliated with, endorsed by, or sponsored by Neil Patel or Ubersuggest. Use at your own risk.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured