What is the key difference between Famulor and Stumpy?

Famulor belongs to the Communication category with local stdio execution, while Stumpy belongs to the Communication category with cloud HTTP/SSE execution.

How do I install Famulor or Stumpy 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 Famulor and Stumpy free or paid?

Famulor operates under a Free / Open Source model (No auth required). Stumpy operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Famulor lists 0 tools with 0 views and 0 GitHub stars. Stumpy lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Famulor and Stumpy 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 Famulor or Stumpy 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 Famulor and Stumpy free to use, or do they require API keys?

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

Yes! MCP clients support multi-server orchestration. You can include both famulor and stumpy 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, Famulor has a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Stumpy holds a Quality Score of 41 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Famulor vs Stumpy

In-depth architectural comparison of the Famulor and Stumpy 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

Famulor

Communication · Local stdio

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

Stumpy

Communication · Remote HTTP/SSE

Quality: 41/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Famulor if you need specialized Communication tools running via a local process. Choose Stumpy if your workspace requires Communication integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Famulor when:

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

Explore Famulor Details

Choose Stumpy when:

You need dedicated capabilities in the Communication domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Stumpy Details

Feature & Specification Comparison

Specification	F Famulor Communication	S Stumpy Communication
Summary	AI voice agents: assistants, calls, campaigns, leads, knowledge bases, WhatsApp, SMS & SIP trunks.	Persistent AI agents that run 24/7 in your Slack, Telegram, SMS, or email.
Category & Scope	Communication	Communication
Quality signal

Tools & Capabilities Breakdown

Famulor Tools (0)

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

Stumpy 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).

Famulor Configuration

mcpServers (Claude Desktop / Cursor)

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

Stumpy Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "stumpy": {
      "url": "https://stumpy.ai"
    }
  }
}

Frequently Asked Questions

Famulor is categorized under Communication and uses a local stdio subprocess. In contrast, Stumpy belongs to Communication using remote streaming HTTP/SSE transport. Select Famulor when you need capabilities focused on communication and Stumpy when you require tools for communication.

More alternatives to Famulor More alternatives to Stumpy Communication category hub