What is the key difference between Mttrly and Steep?

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

How do I install Mttrly or Steep 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 Mttrly and Steep free or paid?

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

Which MCP server has more tools and community activity?

Mttrly lists 0 tools with 0 views and 0 GitHub stars. Steep lists 0 tools with 0 views and 9 GitHub stars.

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

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

Yes! MCP clients support multi-server orchestration. You can include both mttrly and steep 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, Mttrly has a Quality Score of 29 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Steep holds a Quality Score of 33 /100 ( Emerging ) with 0 views, 0 installs, and 9 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Mttrly vs Steep

In-depth architectural comparison of the Mttrly and Steep 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

Mttrly

Monitoring · Remote HTTP/SSE

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

Steep

Monitoring · Local stdio

Quality: 33/100 (Emerging) | Auth: No auth required

Verdict Summary: Choose Mttrly if you need specialized Monitoring tools running via a hosted cloud SSE transport. Choose Steep if your workspace requires Monitoring integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

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

Choose Steep 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 Steep Details

Feature & Specification Comparison

Specification	M Mttrly Monitoring	S Steep Monitoring
Summary	AI-powered incident management and server monitoring via MCP.	Query metrics, targets, entities, and team data in your Steep workspace via MCP.
Category & Scope	Monitoring	Monitoring
Quality signal

Tools & Capabilities Breakdown

Mttrly Tools (0)

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

Steep 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).

Mttrly Configuration

mcpServers (Claude Desktop / Cursor)

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

Steep Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

More alternatives to Mttrly More alternatives to Steep Monitoring category hub