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MCP Domain Availability Checker

MCP Server

Instant domain availability across 50+ TLDs with AI support

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Updated 25 days ago

About

A Model Context Protocol server that lets Claude Desktop and other clients quickly verify domain availability using DNS and WHOIS across popular, country, and new TLDs, with bulk checks, parallel processing, and smart suggestions.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Domain Availability MCP server demo

Overview

The MCP Domain Availability Checker is a lightweight, cloud‑agnostic service that plugs directly into Claude Desktop via the Model Context Protocol. It answers a common pain point for founders, marketers and developers: “Is this domain name free, and what alternative extensions might be a good fit?” By exposing a single, well‑defined API endpoint, the server lets AI assistants perform real‑time DNS and WHOIS lookups across more than 50 top‑level domains (TLDs), from classic and country codes like , to niche new gTLDs such as or .

Why it matters for AI workflows

In many creative and analytical conversations, a user will ask an assistant to brainstorm brand names or validate domain ideas. Traditionally this would require switching to a separate registrar tool, manually querying each TLD, and interpreting ambiguous WHOIS responses. The MCP server eliminates that friction by returning a structured result set that the assistant can parse, rank, and present in natural language. Developers can embed these checks into larger workflows—such as automated brand‑name generators, startup idea validation pipelines, or competitive landscape analyses—without writing custom integration code.

Core capabilities

  • Broad TLD coverage: Supports the most common extensions (.com, .io, .ai), country codes (.us, .de) and modern gTLDs (.dev, .tech).
  • Dual verification: Combines DNS resolution and WHOIS queries to reduce false positives, ensuring higher confidence in the availability status.
  • Bulk and parallel checks: A single request can query a name against all supported TLDs, with results sorted by popularity and availability.
  • Smart suggestions: When a primary TLD is taken, the server automatically proposes alternatives in ascending order of likelihood and relevance.
  • Real‑time metrics: Each response includes timing information, allowing developers to monitor latency and optimize downstream logic.

Real‑world use cases

  • Startup naming assistants: Claude can ask for domain suggestions, receive a ranked list of free options, and even recommend the most market‑friendly TLDs.
  • Marketing research: Analysts can probe competitor domain portfolios, quickly identifying gaps or saturated spaces.
  • E‑commerce platform onboarding: New merchants can verify domain availability as part of the store creation wizard, ensuring a smooth brand setup.
  • Educational tools: Teaching students about internet infrastructure and domain registration can be enriched with live queries powered by the MCP server.

Integration highlights

The server is designed for zero‑clone deployment via , so developers can add it to a Claude Desktop configuration with minimal friction. Once registered, the assistant can invoke the tool using natural language prompts such as “Is myawesomesite.com available?” or “Show me all free variations of techstartup2026.” The assistant then formats the structured output into a conversational response, optionally flagging TLDs that are already taken and suggesting the next best options.

Unique advantages

  • Native MCP support: No custom adapters or wrappers are required—Claude can call the server as if it were a built‑in capability.
  • High accuracy: Dual DNS and WHOIS checks reduce the chance of misreporting availability, a common issue with third‑party APIs.
  • Scalable and fast: Parallel processing keeps response times low even when querying dozens of TLDs, making it suitable for real‑time interactions.

In summary, the MCP Domain Availability Checker transforms domain research from a manual, fragmented task into an instant, AI‑driven service that developers can weave directly into conversational agents and larger automation pipelines.