Keywords Everywhere MCP Server
A Model Context Protocol (MCP) server that provides access to the Keywords Everywhere API for SEO research and keyword analysis. This server enables AI assistants like Claude to perform keyword research, analyze search volumes, get competition data, and access various SEO metrics.
Do note that this is NOT an official MCP server by Keywords Everywhere.
Features
- Keyword Data Analysis: Get search volume, CPC, and competition data for keywords
- Related Keywords: Find related keywords and "People Also Search For" suggestions
- Domain Analysis: Analyze what keywords a domain or URL ranks for
- Traffic Metrics: Get traffic estimates and costs for domains and URLs
- Backlink Analysis: Retrieve backlink data for domains and pages
- Account Management: Check your Keywords Everywhere credit balance
- Multi-Country Support: Analyze keywords across different countries and currencies
Installation
Prerequisites
- Node.js 16.0.0 or higher
- A Keywords Everywhere API key (get one from Keywords Everywhere)
Quick Installation (NPX)
The easiest way to use this MCP server is with npx:
Global Installation
Smithery Installation
You can also use this MCP server through Smithery:
- Connect to the server using the Smithery URL:
- Smithery works with any streamable HTTP transport compatible client including:
- Claude Desktop
- Claude Code
- Gemini CLI
- Raycast
- Cursor
- VS Code
- And many more
For more information, visit Smithery.
Configuration
For Claude Desktop
Add the following to your Claude Desktop configuration file:
Location:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
Configuration:
For Other MCP Clients
If you're using other MCP clients, you can run the server directly:
Available Tools
Account Management
get_credits
- Check your account's credit balanceget_countries
- Get list of supported countriesget_currencies
- Get list of supported currencies
Keyword Research
get_keyword_data
- Get volume, CPC, and competition data for keywordsget_related_keywords
- Find related keywords based on a seed keywordget_pasf_keywords
- Get "People Also Search For" keywords
Domain Analysis
get_domain_keywords
- Get keywords that a domain ranks forget_url_keywords
- Get keywords that a specific URL ranks forget_domain_traffic
- Get traffic metrics for a domainget_url_traffic
- Get traffic metrics for a URL
Backlink Analysis
get_domain_backlinks
- Get backlinks for a domainget_unique_domain_backlinks
- Get unique domain backlinksget_page_backlinks
- Get backlinks for a specific pageget_unique_page_backlinks
- Get unique backlinks for a page
Usage Examples
Basic Keyword Research
Domain Analysis
Traffic Analysis
Backlink Research
API Key Setup
- Sign up at Keywords Everywhere
- Purchase credits for API access
- Get your API key from the dashboard
- Add the API key to your environment variables or MCP configuration
Error Handling
The server includes comprehensive error handling:
- Authentication errors: Clear messages for invalid API keys
- Credit exhaustion: Helpful messages when credits run out
- Rate limiting: Automatic retry with exponential backoff
- Bad requests: Detailed error messages with suggestions
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
MIT License - see the LICENSE file for details.
Support
- GitHub Issues: Report bugs or request features
- Keywords Everywhere API: Official documentation
Development and Deployment
This MCP server uses TypeScript with Smithery CLI for development and deployment. The TypeScript Smithery CLI approach is the recommended migration path for MCP servers, providing built-in development tools, automatic deployment, and containerization with minimal configuration.
Prerequisites
- Node.js 18+ installed
- Keywords Everywhere API key
Project Structure
Local Development
The development server will provide a link to the Smithery playground for testing. The playground allows you to interact with your MCP server and test all available tools.
Building for Production
Smithery will automatically detect changes and deploy your server. You can also manually trigger deployment from your Smithery server dashboard.
Transport Support
This MCP server uses the Streamable HTTP Transport, which is the recommended transport for production use, offering improved scalability, concurrency, and latency compared to STDIO transport.
For detailed information about the migration from STDIO to TypeScript Smithery CLI with HTTP transport, see MIGRATION.md.
Key Benefits
- Simplified Development: Built-in development tools with hot reloading
- Automatic Deployment: Push to GitHub and Smithery handles the rest
- No Dockerfile Needed: Smithery CLI handles containerization
- Type Safety: Full TypeScript support with proper type checking
- Better Performance: HTTP transport offers improved scalability and latency
Changelog
2.0.0
- Migrated to TypeScript Smithery CLI architecture
- Converted codebase to TypeScript with proper types
- Updated project structure to follow Smithery CLI best practices
- Added tsconfig.json for TypeScript configuration
- Enhanced error handling and response formatting
- Improved development experience with hot reloading
1.1.0
- Migrated from STDIO to Streamable HTTP transport
- Added support for both transport types
- Added smithery.yaml configuration
- Improved session management
- Enhanced error handling
1.0.0
- Initial release
- Support for all major Keywords Everywhere API endpoints
- Comprehensive error handling and retry logic
- MCP protocol compliance
- Cross-platform compatibility
Related
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A Model Context Protocol server that provides access to the Keywords Everywhere API, enabling AI assistants to perform SEO research including keyword analysis, domain traffic metrics, and backlink data.
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