What is the key difference between TranscriptFetch and Scribefy?

TranscriptFetch belongs to the Multimedia Process category with local stdio execution, while Scribefy belongs to the Multimedia Process category with local stdio execution.

How do I install TranscriptFetch or Scribefy 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 TranscriptFetch and Scribefy free or paid?

TranscriptFetch operates under a Free / Open Source model (No auth required). Scribefy operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

TranscriptFetch lists 0 tools with 0 views and 0 GitHub stars. Scribefy lists 0 tools with 0 views and 0 GitHub stars.

Can I use both TranscriptFetch and Scribefy 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 TranscriptFetch or Scribefy 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 TranscriptFetch and Scribefy free to use, or do they require API keys?

TranscriptFetch is listed under a Free / Open Source model with No auth required . Scribefy 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 TranscriptFetch and Scribefy at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both transcriptfetch and scribefy 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, TranscriptFetch has a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Scribefy holds a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

TranscriptFetch vs Scribefy

In-depth architectural comparison of the TranscriptFetch and Scribefy 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

TranscriptFetch

Multimedia Process · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

Scribefy

Multimedia Process · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

Verdict Summary: Choose TranscriptFetch if you need specialized Multimedia Process tools running via a local process. Choose Scribefy if your workspace requires Multimedia Process integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose TranscriptFetch when:

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

Explore TranscriptFetch Details

Choose Scribefy when:

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

Explore Scribefy Details

Feature & Specification Comparison

Specification	T TranscriptFetch Multimedia Process	S Scribefy Multimedia Process
Summary	Fetch YouTube transcripts + metadata by video, search, channel, or playlist as clean JSON.	Search YouTube, get video metadata, and extract timestamped transcripts for AI workflows.
Category & Scope	Multimedia Process	Multimedia Process
Quality signal

Tools & Capabilities Breakdown

TranscriptFetch Tools (0)

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

Scribefy 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).

TranscriptFetch Configuration

mcpServers (Claude Desktop / Cursor)

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

Scribefy Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

TranscriptFetch is categorized under Multimedia Process and uses a local stdio subprocess. In contrast, Scribefy belongs to Multimedia Process using local stdio subprocess. Select TranscriptFetch when you need capabilities focused on multimedia process and Scribefy when you require tools for multimedia process.

More alternatives to TranscriptFetch More alternatives to Scribefy Multimedia Process category hub Canonical compare URL