# Name Whisper — ENS Intelligence Layer

> Use this tool when you need to manage and optimize Ethereum Name Service (ENS) names, as it provides a comprehensive suite of 34 tools to search, value, trade, and manage ENS names, leveraging AI-powered intelligence. It solves problems related to ENS name discovery, valuation, and portfolio management, offering a streamlined interface for users to input search queries and receive outputs on name availability, pricing, and trading opportunities. This tool is ideal for ENS name investors, traders, and managers seeking data-driven insights to inform their decision-making.

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

## Description

34 MCP tools to search, register, manage, value, and trade ENS names. AI-powered intelligence layer.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.namewhisper%2Fens-tools)
- **Repository:** <https://github.com/eggybug42069/namewhisper-mcp>

## Use it

MCP endpoint published by the skill: `https://namewhisper.ai/mcp`

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": "ai-namewhisper-ens-tools"
    }
  }
}
```

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