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

Name Whisper — ENS Intelligence Layer belongs to the Speech-to-Text category with local stdio execution, while Pepys Mcp belongs to the Speech-to-Text category with local stdio execution.

How do I install Name Whisper — ENS Intelligence Layer or Pepys Mcp 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 Pepys Mcp free or paid?

Name Whisper — ENS Intelligence Layer operates under a Free / Open Source model (No auth required). Pepys Mcp operates under a Freemium model (API Key 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. Pepys Mcp lists 9 tools with 2 views and 0 GitHub stars.

Can I use both Name Whisper — ENS Intelligence Layer and Pepys Mcp 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 Pepys Mcp 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 Pepys Mcp 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 . Pepys Mcp operates under a Freemium model with API Key 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 Pepys Mcp 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 ankurmans-pepys-mcp 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. Pepys Mcp holds a Quality Score of 63 /100 ( Good ) with 2 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Name Whisper — ENS Intelligence Layer vs Pepys Mcp

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

Pepys Mcp

Speech-to-Text · Local stdio

Quality: 63/100 (Good) | Auth: API Key required

Verdict Summary: Choose Name Whisper — ENS Intelligence Layer if you need specialized Speech-to-Text tools running via a local process. Choose Pepys Mcp 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 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 Pepys Mcp when:

You need dedicated capabilities in the Speech-to-Text domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Freemium).
You have access to required keys: PEPYS_API_KEY.
Primary tools included: transcribe, get_transcription, upload_file.

Explore Pepys Mcp Details

Feature & Specification Comparison

Specification	Name Whisper — ENS Intelligence Layer Speech-to-Text	Pepys Mcp ankurmans Speech-to-Text
Summary	44 MCP tools to search, value, register, trade, and manage ENS names. AI-powered intelligence layer.	Pay-once transcription for audio, video, and whole podcast feeds via Pepys. Transcribe a file or a pasted YouTube/podcast link, get speaker diarization, export SRT/VTT, search a transcript, and check credit balance. Hosted connector (OAuth, no API key) or npx pepys-mcp. 99+ languages.
Category & Scope	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.

Pepys Mcp Tools (9)

transcribe

Transcribe hours-long audio or video into an accurate, speaker-labeled (diarized), timestamped transcript with correctly-timed SRT/VTT captions – work a general model can't do on a raw file. Accepts a file_ref from upload_file or a url (YouTube, podcast episode, RSS feed, Google Drive/Dropbox share). Audio is never used to train models. Returns { job_id, status }; fetch the result with get_transcription.

get_transcription

Fetch a transcription by job_id: full text, per-speaker timestamped segments, summary, duration_seconds, billed_minutes, and language. Set wait_ms (up to 25000) to long-poll so short clips come back in one call; otherwise poll until status is 'done'.

upload_file

Upload local audio/video the agent is holding (as base64 bytes or a file path) and get back a file_ref to pass to transcribe. Use this when the media has no public URL. Requires the Pepys R2 storage backend.

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"
      ]
    }
  }
}

Pepys Mcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "ankurmans-pepys-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "pepys-mcp"
      ],
      "env": {
        "PEPYS_API_KEY": "YOUR_PEPYS_API_KEY_HERE"
      }
    }
  }
}

Frequently Asked Questions

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

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