Globalping MCP Server
Enable AI models to interact with a global network measurement platform through natural language. Give network access to any LLM.
What is Globalping?
Globalping is a free, public API that provides access to a globally distributed network of probes for monitoring, debugging, and benchmarking internet infrastructure. With Globalping, you can run network tests (ping, traceroute, DNS, MTR, HTTP) from thousands of locations worldwide.
What is the Globalping MCP Server?
The Globalping MCP Server implements the Model Context Protocol (MCP), allowing AI models like OpenAI’s GPT and Anthropic’s Claude to interact with Globalping’s network measurement capabilities through natural language.
It also supports oAuth authentication, which offers a secure way to interact with our API and benefits from higher rate limits associated with your account.
Key Features
Global Network Access: Run measurements from thousands of probes worldwide
AI-Friendly Interface: Any LLM will easily parse the data and run new measurements as needed
Comprehensive Measurements: Support for ping, traceroute, DNS, MTR, and HTTP tests
Smart Context Handling: Provides detailed parameter descriptions for AI clients to intelligently select measurement types and options
Comparative Analysis: Allows to compare network performance between different targets
oAuth Support: Use your own Globalping account for higher rate limits
Installation
The remote MCP server is available under this endpoint https://mcp.globalping.dev/sse
You can integrate our Globalping MCP server with various AI tools that support the Model Context Protocol.
Here are instructions for the top 3 most popular tools:
Claude Desktop App
Add to your Claude Desktop configuration file (located at %APPDATA%Claudeconfig.json
on Windows or ~/Library/Application Support/Claude/config.json
on macOS):
{
"mcpServers": {
"globalping": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.globalping.dev/sse"
]
}
}
}
Anthropic Claude API (via Console)
When creating a Claude Assistant in the Anthropic Console:
- Go to console.anthropic.com
- Navigate to the Assistants section
- Create a new Assistant or edit an existing one
- In the Tools section, select “Add custom tool”
- Enter the following details:
- Tool Name:
Globalping
- Description:
Run network tests from locations worldwide
- Tool URL:
https://mcp.globalping.dev/sse
- Tool Name:
Cursor
To add the Globalping MCP server to Cursor:
- Open Cursor settings
- Navigate to the AI tab
- Scroll down to find “Model Context Protocol”
- Click “Add MCP Server”
- Enter:
- Name:
Globalping
- URL:
https://mcp.globalping.dev/sse
- Check “Enabled”
- Name:
- Click “Save”
Connecting AI Assistants
This MCP server can be used with any MCP-compatible AI assistant, including:
- Claude Desktop
- Anthropic Assistants
- Cursor
- Windsurf
- Any custom implementation of the MCP protocol
See the MCP documentation for details on connecting clients to this server.
Available Tools
ping
- Perform a ping test to a targettraceroute
- Perform a traceroute test to a targetdns
- Perform a DNS lookup for a domainmtr
- Perform an MTR (My Traceroute) test to a targethttp
- Perform an HTTP request to a URLlocations
- List all available Globalping probe locationslimits
- Show your current rate limits for the Globalping APIgetMeasurement
- Retrieve a previously run measurement by IDcompareLocations
- Guide on how to run comparison measurementshelp
- Show a help message with documentation on available tools
Usage Examples
Once connected to an AI model through a compatible MCP client, you can interact with Globalping using natural language:
Ping google.com from 3 locations in Europe
Run a traceroute to github.com from Japan and compare with traceroute from the US
Check the DNS resolution of example.com using Google DNS (8.8.8.8)
Is jsdelivr.com reachable from China? Test with both ping and HTTP
What's the average response time for cloudflare.com across different continents?
Location Specification
Locations can be specified using the “magic” field, which supports various formats:
- Continent codes: “EU”, “NA”, “AS”, etc.
- Country codes: “US”, “DE”, “JP”, etc.
- City names: “London”, “Tokyo”, “New York”, etc.
- Network names: “Cloudflare”, “Google”, etc.
- ASN numbers: “AS13335”, “AS15169”, etc.
- Cloud provider regions: “aws-us-east-1”, “gcp-us-central1”, etc.
You can also combine these with a plus sign for more specific targeting: “London+UK”, “Cloudflare+US”, etc.
Development
The codebase is organized into modules:
src/index.ts
- Main entry point and MCP agent definitionsrc/globalping/types.ts
- TypeScript interfaces for the Globalping APIsrc/globalping/api.ts
- API wrapper functions for Globalpingsrc/globalping/tools.ts
- MCP tool implementationssrc/utils.ts
- Helper utilities for rendering the web UI
Add Globalping credentials
Add Globalping OAuth credentials:
npx wrangler secret put GLOBALPING_CLIENT_ID
npx wrangler secret put GLOBALPING_CLIENT_SECRET
KV storage
Used for OAuthProvider
docs https://github.com/cloudflare/workers-oauth-provider
- create a KV namespace and copy ID
- binding for it must be
OAUTH_KV
- configure
kv_namespaces
in thewrangler.jsonc
file
Globalping Network Measurement Server
Project Details
- jsdelivr/globalping-mcp-server
- Last Updated: 5/14/2025
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