What is the key difference between Name Whisper — ENS Intelligence Layer and Oruk Speech?

Name Whisper — ENS Intelligence Layer belongs to the Speech-to-Text category with local stdio execution, while Oruk Speech belongs to the Speech-to-Text category with cloud HTTP/SSE execution.

How do I install Name Whisper — ENS Intelligence Layer or Oruk Speech in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Name Whisper — ENS Intelligence Layer and Oruk Speech free or paid?

Name Whisper — ENS Intelligence Layer operates under a Free / Open Source model (No auth required). Oruk Speech operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Name Whisper — ENS Intelligence Layer lists 0 tools with 0 views and 0 GitHub stars. Oruk Speech lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Name Whisper — ENS Intelligence Layer and Oruk Speech together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

How do I install Name Whisper — ENS Intelligence Layer or Oruk Speech in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Name Whisper — ENS Intelligence Layer and Oruk Speech free to use, or do they require API keys?

Name Whisper — ENS Intelligence Layer is listed under a Free / Open Source model with No auth required . Oruk Speech operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Name Whisper — ENS Intelligence Layer and Oruk Speech at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both name-whisper-ens-intelligence-layer and oruk-speech as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Name Whisper — ENS Intelligence Layer has a Quality Score of 36 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Oruk Speech holds a Quality Score of 30 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Name Whisper — ENS Intelligence Layer vs Oruk Speech

In-depth architectural comparison of the Name Whisper — ENS Intelligence Layer and Oruk Speech MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Name Whisper — ENS Intelligence Layer

Speech-to-Text · Local stdio

Quality: 36/100 (Fair) | Auth: No auth required

Oruk Speech

Speech-to-Text · Remote HTTP/SSE

Quality: 30/100 (Emerging) | Auth: No auth required

Verdict Summary: Choose Name Whisper — ENS Intelligence Layer if you need specialized Speech-to-Text tools running via a local process. Choose Oruk Speech if your workspace requires Speech-to-Text integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Name Whisper — ENS Intelligence Layer when:

You need dedicated capabilities in the Speech-to-Text domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Name Whisper — ENS Intelligence Layer Details

Choose Oruk Speech when:

You need dedicated capabilities in the Speech-to-Text domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Oruk Speech Details

Feature & Specification Comparison

Specification	Name Whisper — ENS Intelligence Layer Speech-to-Text	O Oruk Speech Speech-to-Text
Summary	44 MCP tools to search, value, register, trade, and manage ENS names. AI-powered intelligence layer.	Hosted speech-to-text + speech emotion/tone analysis for agents. No install; trial keys built in.
Category & Scope	Speech-to-Text	Speech-to-Text

Tools & Capabilities Breakdown

Name Whisper — ENS Intelligence Layer Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Oruk Speech Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Name Whisper — ENS Intelligence Layer Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "name-whisper-ens-intelligence-layer": {
      "command": "npx",
      "args": [
        "-y",
        "namewhisper-mcp"
      ]
    }
  }
}

Oruk Speech Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "oruk-speech": {
      "url": "https://oruk.ai/docs/mcp"
    }
  }
}

Frequently Asked Questions

Name Whisper — ENS Intelligence Layer is categorized under Speech-to-Text and uses a local stdio subprocess. In contrast, Oruk Speech belongs to Speech-to-Text using remote streaming HTTP/SSE transport. Select Name Whisper — ENS Intelligence Layer when you need capabilities focused on speech-to-text and Oruk Speech when you require tools for speech-to-text.

More alternatives to Name Whisper — ENS Intelligence Layer More alternatives to Oruk Speech Speech-to-Text category hub