What is the key difference between Spanly and Dynatrace Mcp?

Spanly belongs to the Monitoring category with cloud HTTP/SSE execution, while Dynatrace Mcp belongs to the Monitoring category with local stdio execution.

How do I install Spanly or Dynatrace Mcp 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 Spanly and Dynatrace Mcp free or paid?

Spanly operates under a Free / Open Source model (No auth required). Dynatrace Mcp operates under a BYOK (Pay Provider Direct) model (OAuth 2.0).

Which MCP server has more tools and community activity?

Spanly lists 0 tools with 0 views and 0 GitHub stars. Dynatrace Mcp lists 5 tools with 2 views and 133 GitHub stars.

Can I use both Spanly and Dynatrace Mcp 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 Spanly or Dynatrace Mcp 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 Spanly and Dynatrace Mcp free to use, or do they require API keys?

Spanly is listed under a Free / Open Source model with No auth required . Dynatrace Mcp operates under a BYOK (Pay Provider Direct) model with OAuth 2.0 . 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 Spanly and Dynatrace Mcp at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both spanly and dynatrace-oss-dynatrace-mcp 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, Spanly has a Quality Score of 42 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Dynatrace Mcp holds a Quality Score of 51 /100 ( Good ) with 2 views, 0 installs, and 133 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Spanly vs Dynatrace Mcp

In-depth architectural comparison of the Spanly and Dynatrace Mcp 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

Spanly

Monitoring · Remote HTTP/SSE

Quality: 42/100 (Fair) | Auth: No auth required

Dynatrace Mcp

Monitoring · Local stdio

Quality: 51/100 (Good) | Auth: OAuth 2.0

Verdict Summary: Choose Spanly if you need specialized Monitoring tools running via a hosted cloud SSE transport. Choose Dynatrace Mcp 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 Spanly 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 Spanly Details

Choose Dynatrace Mcp when:

You need dedicated capabilities in the Monitoring domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: OAuth 2.0 (BYOK (Pay Provider Direct)).
You have access to required keys: DT_ENVIRONMENT, DT_MCP_TOKEN_STORAGE.
Primary tools included: AI-powered DQL generation and explanation, Browser-based OAuth Authorization Code Flow authentication, Token storage in OS keychain or file system.

Explore Dynatrace Mcp Details

Feature & Specification Comparison

Specification	S Spanly Monitoring	Dynatrace Mcp dynatrace-oss Monitoring
Summary	MCP observability. Query live traffic, errors, duration, and alerts from your AI agent.	Leverage AI-driven observability, security, and automation to analyze anomalies, logs, traces, events, metrics.
Category & Scope	Monitoring	Monitoring
Quality signal

Tools & Capabilities Breakdown

Spanly Tools (0)

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

Dynatrace Mcp Tools (5)

AI-powered DQL generation and explanation

Browser-based OAuth Authorization Code Flow authentication

Token storage in OS keychain or file system

Support for anomalies, logs, traces, events, and metrics

Integration with local MCP clients via stdio

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).

Spanly Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "spanly": {
      "url": "https://spanly.com"
    }
  }
}

Dynatrace Mcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "dynatrace-oss-dynatrace-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@dynatrace-oss/dynatrace-mcp-server"
      ],
      "env": {
        "DT_ENVIRONMENT": "YOUR_DT_ENVIRONMENT_HERE",
        "DT_MCP_TOKEN_STORAGE": "YOUR_DT_MCP_TOKEN_STORAGE_HERE"
      }
    }
  }
}

Frequently Asked Questions

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

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