# fastest-domain-name-search-mcp

> fastest-domain-name-search-mcp — domainnameregistration-fastest-domain-name-search-mcp. Use this tool when you need to quickly search and verify the availability of multiple domain names. It solves problems related to domain name registration and research by allowing bulk searches of up to 1,000 domains at once. The tool takes a list of domain names as input and returns their availability status, including available, registered, and aftermarket domains.

Canonical page: https://skillsregistry.net/skills/domainnameregistration-fastest-domain-name-search-mcp  
JSON: https://api.skillsregistry.net/v1/skills/domainnameregistration-fastest-domain-name-search-mcp

## Description

The Fastest Domain Name Search is provided by Domainnameregistration.com. This MCP lets agents check up to 1,000 domains in one MCP request and distinguish available, registered, and aftermarket domains through one compact MCP tool.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/domainnameregistration/fastest-domain-name-search-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "domainnameregistration-fastest-domain-name-search-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/domainnameregistration-fastest-domain-name-search-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/domainnameregistration-fastest-domain-name-search-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt