Globalping MCP Server

What does “Globalping” MCP Server do?

The Globalping MCP Server connects AI assistants to Globalping’s global network measurement platform, enabling large language models (LLMs) to perform real-time network diagnostics and benchmarking tasks through natural language interfaces. Using the Model Context Protocol (MCP), it allows AI models such as OpenAI’s GPT and Anthropic’s Claude to execute network tests—including ping, traceroute, DNS lookups, MTR, and HTTP requests—from thousands of locations worldwide. This enhances development workflows by providing instant, actionable network analysis, comparative performance insights, and robust monitoring capabilities. The server also supports oAuth authentication for secure, high-throughput API access and is designed for easy integration with popular AI tools and assistants.

List of Prompts

No explicit prompt templates are mentioned in the provided documentation or repository.

List of Resources

No explicit MCP resources are listed in the available documentation or repository.

List of Tools

• ping: Perform a ping test to a network target.
• traceroute: Run a traceroute test to analyze the path to a target.
• dns: Execute a DNS lookup for a domain to retrieve DNS records.
• mtr: Conduct an MTR (My Traceroute) test, combining ping and traceroute.
• http: Perform an HTTP request to a given URL for status and response checking.
• locations: List all available Globalping probe locations worldwide.
• limits: Display current API rate limits for the connected Globalping account.
• getMeasurement: Retrieve details of a previously executed measurement by its ID.
• compareLocations: Provides guidance on comparing network performance between different locations.
• help: Show help documentation about available tools and usage.

Use Cases of this MCP Server

• Distributed Network Troubleshooting: Instantly identify latency, packet loss, or routing issues by running ping, traceroute, and MTR tests from multiple locations, allowing developers to diagnose global connectivity problems.
• API and Website Monitoring: Use HTTP and DNS tools to monitor uptime, DNS propagation, and response times for APIs or websites from different regions, ensuring reliable global access.
• Comparative Network Analysis: Utilize the compareLocations tool to benchmark network performance between multiple targets or regions, aiding in infrastructure decisions.
• Proactive Incident Response: Integrate with AI assistants to trigger automated network tests in response to detected anomalies, providing actionable context for rapid mitigation.
• Educational and Research Applications: Enable students, researchers, or network engineers to perform and analyze real-world network measurements in a reproducible and scalable manner.

How to set it up

Windsurf

No setup instructions for Windsurf are provided in the documentation.

Claude

1. Locate your Claude Desktop configuration file:
   • %APPDATA%\Claude\config.json (Windows)
   • ~/Library/Application Support/Claude/config.json (macOS)
2. Open the configuration file in a text editor.
3. Add the Globalping MCP server configuration under mcpServers:

   {
       "mcpServers": {
           "globalping": {
               "command": "npx",
               "args": [
                   "mcp-remote",
                   "https://mcp.globalping.dev/sse"
               ]
           }
       }
   }
   

4. Save the file and restart Claude Desktop.
5. Verify that Globalping MCP shows up as an available server.

Securing API Keys: No explicit instructions are provided, but for securing API keys, you would typically use environment variables, e.g.:

{
  "env": {
    "GLOBALPING_API_KEY": "your-api-key"
  },
  "inputs": {
    "apiKey": "${GLOBALPING_API_KEY}"
  }
}

Cursor

1. Open Cursor settings.
2. Navigate to the MCP tab.
3. Click “+ Add new global MCP server”.
4. In the mcp.json config file, add:

   {
       "mcpServers": {
           "globalping": {
               "command": "npx",
               "args": [
                   "mcp-remote",
                   "https://mcp.globalping.dev/sse"
               ]
           }
       }
   }
   

5. Save and restart Cursor.

Securing API Keys: No explicit documentation, but you can use environment variables as shown above.

Cline

No setup instructions for Cline are provided in the documentation.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "globalping": {
    "transport": "streamable_http",
    "url": "https://mcp.globalping.dev/sse"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “globalping” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the completeness of the documentation and feature set (tools, clear overview, setup for major platforms, but missing explicit resources, prompts, sampling/root support), we’d rate this MCP server a 6/10 for practical developer use and integration.

MCP Score