What is the key difference between Steep and Mttrly?

Steep 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 Steep 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 Steep and Mttrly free or paid?

Steep 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?

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

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

Steep 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 Steep and Mttrly at the same time in my AI client?

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

Steep vs Mttrly

In-depth architectural comparison of the Steep 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

Steep

Monitoring · Local stdio

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

Mttrly

Monitoring · Remote HTTP/SSE

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

Verdict Summary: Choose Steep 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 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

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

Tools & Capabilities Breakdown

Steep 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).

Steep Configuration

mcpServers (Claude Desktop / Cursor)

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

Mttrly Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

More alternatives to Steep More alternatives to Mttrly Monitoring category hub Canonical compare URL