An implementation of a Model Context Protocol (MCP) for internet speed testing. It allows AI models and agents to measure, analyze, and report
An implementation of a Model Context Protocol (MCP) for internet speed testing. It allows AI models and agents to measure, analyze, and report network performance metrics through a standardized interface. That is what the mcp internet speed test mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
The Model Context Protocol (MCP) provides a standardized way for Large Language Models (LLMs) to interact with external tools and data sources. Think of it as the "USB-C for AI applications" - a common interface that allows AI systems to access real-world capabilities and information.
The server publishes 5 tools. What each one is for:
Prerequisites — The Prerequisites tool exposed by this serverDependencies — The package automatically installs these dependencies: - mcp[cli]>=1.25.0: MCP server framework with CLI integration - httpx>=0.27.0: Async HTTPContributing — This is an experimental project and contributions are welcome:Overview — SpeedOf.Me tests an internet connection by downloading and uploading sample files. It reflects actual browsing and download performance by using aAccuracy — 1. Single continuous download — Downloads large, continuous sample files, similar to how web pages or media files are typically delivered. OtherInstallation goes through your MCP client rather than a global install: point it at mcp-internet-speed-test on PyPI and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Configuration is passed through the environment: GITHUB_MEDIA_URL, DEFAULT_UPLOAD_URL, DEFAULT_LATENCY_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. MCP Internet Speed Test's toolset — Prerequisites, Dependencies, Contributing and 2 more — is a fair guide to whether it matches your workflow. It is maintained by inventer-dev; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Dependencies | The package automatically installs these dependencies: - mcp[cli]>=1.25.0: MCP server framework with CLI integration - httpx>=0.27.0: Async HTTP client for speed tests |
| Contributing | This is an experimental project and contributions are welcome: |
| Overview | SpeedOf.Me tests an internet connection by downloading and uploading sample files. It reflects actual browsing and download performance by using a single HTTP connection and large continuous files — the same way real web |
| Accuracy | 1. **Single continuous download** — Downloads large, continuous sample files, similar to how web pages or media files are typically delivered. Other speed tests use small chunks transferred in parallel and apply adjustme |
#### Option 2: Using uvx
```json
{
"mcpServers": {
"mcp-internet-speed-test": {
"command": "uvx",
"args": ["mcp-internet-speed-test"]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| GITHUB_MEDIA_URL | Endpoint or connection string the server talks to. | Yes |
| DEFAULT_UPLOAD_URL | Endpoint or connection string the server talks to. | Yes |
| DEFAULT_LATENCY_URL | Endpoint or connection string the server talks to. | Yes |
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