What is the key difference between Convai Analytics and Mttrly?

Convai Analytics belongs to the Monitoring category with local stdio execution, while Mttrly belongs to the Monitoring category with cloud HTTP/SSE execution.

How do I install Convai Analytics or Mttrly 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 Convai Analytics and Mttrly free or paid?

Convai Analytics operates under a Free / Open Source model (No auth required). Mttrly operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Convai Analytics lists 0 tools with 0 views and 0 GitHub stars. Mttrly lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Convai Analytics and Mttrly 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 Convai Analytics or Mttrly 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 Convai Analytics and Mttrly free to use, or do they require API keys?

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

Yes! MCP clients support multi-server orchestration. You can include both convai-analytics and mttrly 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, Convai Analytics has a Quality Score of 37 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Mttrly holds a Quality Score of 29 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Convai Analytics vs Mttrly

In-depth architectural comparison of the Convai Analytics and Mttrly 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

Convai Analytics

Monitoring · Local stdio

Quality: 37/100 (Fair) | Auth: No auth required

Mttrly

Monitoring · Remote HTTP/SSE

Quality: 29/100 (Emerging) | Auth: No auth required

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

Which MCP Server Should You Choose?

Choose Convai Analytics when:

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

Explore Convai Analytics Details

Choose Mttrly when:

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

Explore Mttrly Details

Feature & Specification Comparison

Specification	C Convai Analytics Monitoring	M Mttrly Monitoring
Summary	Analyze Convai sessions, latency, reliability, usage, and provider telemetry via API key.	AI-powered incident management and server monitoring via MCP.
Category & Scope	Monitoring	Monitoring
Quality signal

Tools & Capabilities Breakdown

Convai Analytics Tools (0)

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

Mttrly 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).

Convai Analytics Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "convai-analytics": {
      "command": "npx",
      "args": [
        "-y",
        "@convai/analytics-mcp@latest"
      ]
    }
  }
}

Mttrly Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "mttrly": {
      "url": "https://mttrly.com/mcp"
    }
  }
}

Frequently Asked Questions

Convai Analytics is categorized under Monitoring and uses a local stdio subprocess. In contrast, Mttrly belongs to Monitoring using remote streaming HTTP/SSE transport. Select Convai Analytics when you need capabilities focused on monitoring and Mttrly when you require tools for monitoring.

More alternatives to Convai Analytics More alternatives to Mttrly Monitoring category hub