realtime-register-mcp
An MCP server for domain management, enabling domain availability checks, bulk domain checks, and API connectivity testing through the RealtimeRegister API.
README
RealtimeRegister MCP Server & Client
A Node.js library and Model Context Protocol (MCP) server for interacting with the RealtimeRegister API for domain management operations.
Overview
This package provides a robust client for the RealtimeRegister API and an MCP-compliant server, enabling applications and AI assistants to:
- Check domain name availability.
- Test API connectivity.
- Perform other domain-related operations (future).
It features a caching layer for performance, typed responses, and comprehensive error handling.
Features
- RealtimeRegister API Client: Strongly-typed client for core API functions.
- Caching Layer: Built-in LRU caching for
checkDomainAvailabilityand other requests to reduce API calls and improve response times. - MCP Server: Exposes functionality via the Model Context Protocol for integration with MCP-compatible systems.
- Environment Configuration: Easy setup using environment variables.
- Error Handling: Custom error types for API and network issues.
- TypeScript Support: Written in TypeScript with declaration files for a better development experience.
Prerequisites
- Node.js 18.0.0 or higher / or Docker
- RealtimeRegister API key (for most functionality)
Installation
Usage with Claude Desktop
Add this to your claude_desktop_config.json:
npx
{
"mcpServers": {
"realtime-register": {
"command": "npx",
"args": ["-y", "realtime-register-mcp"],
"env": {
"REALTIME_REGISTER_API_KEY": "your-api-key-here"
}
}
}
}
Available Tools
The realtime-register-mcp provides the following tools:
check_domain_availability(params:domain: string)check_bulk_domains(params:domains: string[])test_api_connection(params:random_string: string(dummy parameter))
Environment Variables
The server and client are configured using environment variables:
REALTIME_REGISTER_API_KEY(Required): Your RealtimeRegister API key.REALTIME_REGISTER_BASE_URL(Optional): API base URL (default:https://api.yoursrs.com).REALTIME_REGISTER_TIMEOUT(Optional): Request timeout in milliseconds (default:30000).REALTIME_REGISTER_DEBUG(Optional): Set totrueto enable detailed debug logging (default:false).LOG_LEVEL(Optional): Set the logging level (e.g.,error,warn,info,debug). Default isinfo.
Contributing
Contributions are welcome! Please feel free to open an issue or submit a pull request on GitHub.
Please ensure your contributions adhere to the existing code style and that all tests pass.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.