What is the key difference between Pepys Mcp and Transcribe?

Pepys Mcp belongs to the Speech-to-Text category with local stdio execution, while Transcribe belongs to the Speech-to-Text category with local stdio execution.

How do I install Pepys Mcp or Transcribe 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 Pepys Mcp and Transcribe free or paid?

Pepys Mcp operates under a Freemium model (API Key required). Transcribe operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Pepys Mcp lists 9 tools with 2 views and 0 GitHub stars. Transcribe lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Pepys Mcp and Transcribe 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 Pepys Mcp or Transcribe 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 Pepys Mcp and Transcribe free to use, or do they require API keys?

Pepys Mcp is listed under a Freemium model with API Key required . Transcribe 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 Pepys Mcp and Transcribe at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both ankurmans-pepys-mcp and transcribe 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, Pepys Mcp has a Quality Score of 63 /100 ( Good ) with 2 views, 0 installs, and 0 GitHub stars. Transcribe holds a Quality Score of 32 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Pepys Mcp vs Transcribe

In-depth architectural comparison of the Pepys Mcp and Transcribe 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

Pepys Mcp

Speech-to-Text · Local stdio

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

Transcribe

Speech-to-Text · Local stdio

Quality: 32/100 (Emerging) | Auth: No auth required

Verdict Summary: Choose Pepys Mcp if you need specialized Speech-to-Text tools running via a local process. Choose Transcribe 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 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

Choose Transcribe 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 Transcribe Details

Feature & Specification Comparison

Specification	Pepys Mcp ankurmans Speech-to-Text	T Transcribe Speech-to-Text
Summary	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.	Transcribe audio & video to text for AI agents: 100+ languages, speaker labels, webhooks.
Category & Scope	Speech-to-Text

Tools & Capabilities Breakdown

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.

list_transcriptions

List this account's recent transcription jobs with their job_id, status, title, and duration, so you can resume, fetch, or export an earlier result instead of re-transcribing.

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).

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"
      }
    }
  }
}

Transcribe Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "transcribe": {
      "command": "npx",
      "args": [
        "-y",
        "transcribe"
      ]
    }
  }
}

Frequently Asked Questions

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

More alternatives to Pepys Mcp More alternatives to Transcribe Speech-to-Text category hub