What is the key difference between Contendeo and Frenchie?

Contendeo belongs to the Speech-to-Text category with cloud HTTP/SSE execution, while Frenchie belongs to the Speech-to-Text category with local stdio execution.

How do I install Contendeo or Frenchie 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 Contendeo and Frenchie free or paid?

Contendeo operates under a Free / Open Source model (No auth required). Frenchie operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Contendeo lists 4 tools with 0 views and 0 GitHub stars. Frenchie lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Contendeo and Frenchie 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 Contendeo or Frenchie 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 Contendeo and Frenchie free to use, or do they require API keys?

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

Yes! MCP clients support multi-server orchestration. You can include both contendeo and frenchie 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, Contendeo has a Quality Score of 47 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Frenchie holds a Quality Score of 25 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Contendeo vs Frenchie

In-depth architectural comparison of the Contendeo and Frenchie 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

Contendeo

Speech-to-Text · Remote HTTP/SSE

Quality: 47/100 (Fair) | Auth: No auth required

Frenchie

Speech-to-Text · Local stdio

Quality: 25/100 (Emerging) | Auth: No auth required

Verdict Summary: Choose Contendeo if you need specialized Speech-to-Text tools running via a hosted cloud SSE transport. Choose Frenchie 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 Contendeo 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).
Primary tools included: quick_transcribe, deep_analyze, clip_context.

Explore Contendeo Details

Choose Frenchie 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 Frenchie Details

Feature & Specification Comparison

Specification	C Contendeo Speech-to-Text	F Frenchie Speech-to-Text
Summary	Multimodal video analysis MCP — transcription, vision, and OCR for any video URL.	OCR, transcription, and image generation for AI agents via MCP.
Category & Scope	Speech-to-Text	Speech-to-Text
Quality signal

Tools & Capabilities Breakdown

Contendeo Tools (4)

quick_transcribe

Timestamped transcript with speaker identification. Audio-only. Fast.

deep_analyze

Full multimodal pipeline — transcript + keyframe vision + OCR, unified output.

clip_context

Analyze a specific timestamp range without paying for the full video.

batch_analyze

Process up to 10 videos in parallel with cross-video synthesis.

Frenchie 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).

Contendeo Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "contendeo": {
      "url": "https://img.shields.io/badge/MCP-Compatible-00FF41?style=flat-square"
    }
  }
}

Frenchie Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

More alternatives to Contendeo More alternatives to Frenchie Speech-to-Text category hub