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Globalping

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by jsdelivr
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# Globalping MCP Server <p align="center"> <img src="https://raw.githubusercontent.com/jsdelivr/globalping-media/refs/heads/master/logo/full_colored_dark.svg" alt="Globalping Logo" width="180"/> </p> <p align="center"> <b>Enable AI models to interact with a global network measurement platform through natural language. Give network access to any LLM.</b> </p> <p align="center"> <a href="https://github.com/modelcontextprotocol/modelcontextprotocol"> <img src="https://img.shields.io/badge/MCP-compatible-brightgreen.svg" alt="MCP Compatible"> </a> </p> ## What is Globalping? [Globalping](https://globalping.io) 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)](https://modelcontextprotocol.io), 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 these endpoints: - Streamable HTTP transport: `https://mcp.globalping.dev/mcp` - SSE transport: `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%\Claude\config.json` on Windows or `~/Library/Application Support/Claude/config.json` on macOS): Streamable HTTP transport: ```json { "mcpServers": { "globalping": { "command": "npx", "args": [ "mcp-remote", "https://mcp.globalping.dev/mcp" ] } } } ``` Legacy SSE transport: ```json { "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: 1. Go to [console.anthropic.com](https://console.anthropic.com/) 2. Navigate to the Assistants section 3. Create a new Assistant or edit an existing one 4. In the Tools section, select "Add custom tool" 5. Enter the following details: - Tool Name: `Globalping` - Description: `Run network tests from locations worldwide` - Tool URL: `https://mcp.globalping.dev/mcp` (Streamable HTTP transport) or `https://mcp.globalping.dev/sse` (SSE transport) #### Cursor To add the Globalping MCP server to Cursor: 1. Open Cursor settings 2. Navigate to the MCP tab 3. Click on "+ Add new global MCP server" 4. This opens the `mcp.json` config file, where you will need to add: Streamable HTTP transport: ```json { "mcpServers": { "globalping": { "command": "npx", "args": [ "mcp-remote", "https://mcp.globalping.dev/mcp" ] } } } ``` Legacy SSE transport: ```json { "mcpServers": { "globalping": { "command": "npx", "args": [ "mcp-remote", "https://mcp.globalping.dev/sse" ] } } } ``` 5. Click "Save" and restart Cursor ## 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 target - `traceroute` - Perform a traceroute test to a target - `dns` - Perform a DNS lookup for a domain - `mtr` - Perform an MTR (My Traceroute) test to a target - `http` - Perform an HTTP request to a URL - `locations` - List all available Globalping probe locations - `limits` - Show your current rate limits for the Globalping API - `getMeasurement` - Retrieve a previously run measurement by ID - `compareLocations` - Guide on how to run comparison measurements - `help` - 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 definition - `src/globalping/types.ts` - TypeScript interfaces for the Globalping API - `src/globalping/api.ts` - API wrapper functions for Globalping - `src/globalping/tools.ts` - MCP tool implementations - `src/utils.ts` - Helper utilities for rendering the web UI ### Add Globalping credentials Add Globalping OAuth credentials: - `npx wrangler secret put GLOBALPING_CLIENT_ID` ### 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 the `wrangler.jsonc` file

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