# NameWhisper ENS Tools

> Use this tool when you need to search, manage, and analyze Ethereum Name Service (ENS) domains using natural language queries, or perform bulk operations and transactions on the blockchain. It solves problems related to ENS domain discovery, valuation, and portfolio management, providing inputs such as search queries and outputs like comparable-sales valuations and market analytics. Ideal for use cases involving ENS domain registration, transfer, and record management, as well as market research and blockchain transaction management.

Canonical page: https://skillsregistry.net/skills/namewhisper-ens  
JSON: https://api.skillsregistry.net/v1/skills/namewhisper-ens

## Description

NameWhisper provides AI-powered intelligence for Ethereum Name Service (ENS) domains. The platform enables natural language search across 3.6M+ ENS names, comparable-sales valuations, on-chain trading, and bulk operations for registration, transfers, and record management. The MCP server exposes 34 tools covering name search, portfolio management, market analytics, and blockchain transactions.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/namewhisper-ens)

## 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": "namewhisper-ens"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/namewhisper-ens` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/namewhisper-ens/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