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

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

How do I install Speko or Name Whisper — ENS Intelligence Layer 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 Speko and Name Whisper — ENS Intelligence Layer free or paid?

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

Which MCP server has more tools and community activity?

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

Can I use both Speko and Name Whisper — ENS Intelligence Layer 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 Speko or Name Whisper — ENS Intelligence Layer 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 Speko and Name Whisper — ENS Intelligence Layer free to use, or do they require API keys?

Speko is listed under a Free / Open Source model with No auth required . Name Whisper — ENS Intelligence Layer 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 Speko and Name Whisper — ENS Intelligence Layer at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both speko-2 and name-whisper-ens-intelligence-layer 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, Speko has a Quality Score of 40 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Name Whisper — ENS Intelligence Layer holds a Quality Score of 36 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Speko vs Name Whisper — ENS Intelligence Layer

In-depth architectural comparison of the Speko and Name Whisper — ENS Intelligence Layer 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

Speko

Speech-to-Text · Remote HTTP/SSE

Quality: 40/100 (Fair) | Auth: No auth required

Name Whisper — ENS Intelligence Layer

Speech-to-Text · Local stdio

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

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

Which MCP Server Should You Choose?

Choose Speko 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 Speko Details

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

Feature & Specification Comparison

Specification	Speko Speech-to-Text	Name Whisper — ENS Intelligence Layer Speech-to-Text
Summary	Official Speko MCP server: build, run, and migrate voice agents (STT/TTS/V2V) for coding agents.	44 MCP tools to search, value, register, trade, and manage ENS names. AI-powered intelligence layer.
Category & Scope	Speech-to-Text	Speech-to-Text
Quality signal

Tools & Capabilities Breakdown

Speko Tools (0)

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

Name Whisper — ENS Intelligence Layer 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).

Speko Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "speko-2": {
      "url": "https://smithery.ai/badge/abat/speko)](https://smithery.ai/servers/abat/speko"
    }
  }
}

Name Whisper — ENS Intelligence Layer Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

More alternatives to Speko More alternatives to Name Whisper — ENS Intelligence Layer Speech-to-Text category hub Canonical compare URL

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