PageSpeed Insights MCP Server
by pravin157
README.md
# PageSpeed Insights MCP Server
An MCP server that wraps the [Google PageSpeed Insights API v5](https://developers.google.com/speed/docs/insights/v5/get-started), exposing 7 focused tools for analysing web performance — scores, Core Web Vitals, opportunities, diagnostics, and batch analysis.
> **PWA Category Notice**: The `pwa` Lighthouse category was **removed** in Lighthouse 12+ and is no longer available via the PSI API. Requesting it returns an API error. `psi_check_pwa` is intentionally not implemented.
---
## Features
| Tool | Description |
|------|-------------|
| `psi_analyze_url` | Full analysis — scores + CWV + top-5 opportunities |
| `psi_get_core_web_vitals` | Lightweight CrUX field data + lab CWV |
| `psi_get_opportunities` | Opportunities sorted by estimated savings |
| `psi_get_diagnostics` | Diagnostic issues (DOM size, JS work, etc.) |
| `psi_compare_mobile_desktop` | Side-by-side mobile vs desktop comparison |
| `psi_batch_analyze` | Analyse up to 10 URLs, partial-failure tolerant |
| `psi_get_category_score` | Single category score + audit breakdown |
---
## Prerequisites
- Python 3.11+
- A Google API key with the **PageSpeed Insights API** enabled
---
## Step 1 — Get a Google API Key
1. Go to the [Google Cloud Console](https://console.cloud.google.com/).
2. Create or select a project.
3. Navigate to **APIs & Services → Library** and search for **"PageSpeed Insights API"**.
4. Click **Enable**.
5. Go to **APIs & Services → Credentials** → **Create Credentials → API key**.
6. Copy the generated key.
> **Quota**: 25,000 requests/day · 400 requests/100 seconds per API key.
> To request higher limits: [Cloud Console → IAM & Admin → Quotas](https://console.cloud.google.com/iam-admin/quotas).
---
## Step 2 — Install
### With `pip` (virtualenv recommended)
```bash
cd page-speed-insights-mcp
python -m venv .venv
# Windows
.venv\Scripts\activate
# macOS/Linux
source .venv/bin/activate
pip install -r requirements.txt
```
### With `uv` (recommended)
```bash
cd page-speed-insights-mcp
uv venv
uv pip install -r requirements.txt
```
---
## Step 3 — Set `PSI_API_KEY`
Copy the example file and add your key:
```bash
cp .env.example .env
```
Edit `.env`:
```
PSI_API_KEY=AIzaSy...your_key_here
```
The server loads this automatically via `python-dotenv`. Alternatively, export it directly:
```bash
# Windows PowerShell
$env:PSI_API_KEY = "AIzaSy..."
# macOS/Linux
export PSI_API_KEY="AIzaSy..."
```
> **Security**: Never commit your `.env` file or hardcode your API key in source code.
---
## Step 4 — Verify the Installation
```bash
# Syntax check all modules
python -m py_compile pagespeed_mcp/server.py
python -m py_compile pagespeed_mcp/api.py
python -m py_compile pagespeed_mcp/models.py
python -m py_compile pagespeed_mcp/formatters.py
echo "All files compiled OK"
```
---
## Step 5 — Register with Claude Desktop
Edit your Claude Desktop config file:
- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
- **Windows**: `%APPDATA%\Claude\claude_desktop_config.json`
```json
{
"mcpServers": {
"pagespeed": {
"command": "python",
"args": ["-m", "pagespeed_mcp.server"],
"cwd": "D:/SIVA/mcps/page-speed-insights-mcp",
"env": {
"PSI_API_KEY": "AIzaSy...your_key_here"
}
}
}
}
```
> **Tip**: Use the full path to the Python executable inside your virtualenv instead of bare `python` to avoid PATH issues:
> - Windows: `"D:/SIVA/mcps/page-speed-insights-mcp/.venv/Scripts/python.exe"`
> - macOS/Linux: `"/path/to/page-speed-insights-mcp/.venv/bin/python"`
---
## Step 6 — Register with Claude Code
In your project's `.claude/settings.json` or `~/.claude/settings.json`:
```json
{
"mcpServers": {
"pagespeed": {
"command": "python",
"args": ["-m", "pagespeed_mcp.server"],
"cwd": "D:/SIVA/mcps/page-speed-insights-mcp",
"env": {
"PSI_API_KEY": "AIzaSy...your_key_here"
}
}
}
}
```
Or add via CLI:
```bash
claude mcp add pagespeed python -m pagespeed_mcp.server \
--cwd "D:/SIVA/mcps/page-speed-insights-mcp" \
--env PSI_API_KEY=AIzaSy...
```
---
## Step 7 — Test with MCP Inspector
```bash
npx @modelcontextprotocol/inspector python -m pagespeed_mcp.server
```
This opens a browser UI where you can call each tool interactively.
---
## Example Tool Calls
### 1. Full analysis (Markdown)
```json
{
"tool": "psi_analyze_url",
"arguments": {
"url": "https://web.dev",
"strategy": "mobile",
"categories": ["performance", "accessibility", "seo"]
}
}
```
### 2. Quick Core Web Vitals check
```json
{
"tool": "psi_get_core_web_vitals",
"arguments": {
"url": "https://www.google.com",
"strategy": "desktop"
}
}
```
### 3. Opportunities with minimum savings
```json
{
"tool": "psi_get_opportunities",
"arguments": {
"url": "https://example.com",
"strategy": "mobile",
"min_savings_ms": 200
}
}
```
### 4. Diagnostics
```json
{
"tool": "psi_get_diagnostics",
"arguments": {
"url": "https://example.com",
"strategy": "mobile"
}
}
```
### 5. Mobile vs Desktop comparison (JSON output)
```json
{
"tool": "psi_compare_mobile_desktop",
"arguments": {
"url": "https://web.dev",
"response_format": "json"
}
}
```
### 6. Batch analysis
```json
{
"tool": "psi_batch_analyze",
"arguments": {
"urls": [
"https://web.dev",
"https://www.google.com",
"https://github.com"
],
"strategy": "mobile",
"categories": ["performance", "seo"]
}
}
```
### 7. Single category score
```json
{
"tool": "psi_get_category_score",
"arguments": {
"url": "https://example.com",
"category": "accessibility",
"strategy": "desktop"
}
}
```
---
## Caching
Repeated calls for the same `(url, strategy, categories)` within a **5-minute window** return cached results, avoiding unnecessary API quota consumption. The cache is in-memory and resets when the server restarts.
---
## Rate Limits & Best Practices
| Limit | Value |
|-------|-------|
| Requests per day | 25,000 |
| Requests per 100 seconds | 400 |
- Use `psi_get_core_web_vitals` for quick health checks (only fetches `performance` category).
- In batch mode, specify only the categories you need to reduce response time.
- The 5-minute cache prevents redundant calls in a single session.
- On HTTP 429, the server automatically retries up to 3 times with back-off.
---
## Project Structure
```
page-speed-insights-mcp/
├── pagespeed_mcp/
│ ├── __init__.py # Package marker
│ ├── server.py # FastMCP app + 7 tool definitions
│ ├── api.py # HTTP client, cache, retry, error handling
│ ├── models.py # Pydantic v2 input models
│ └── formatters.py # Response extractors and Markdown/JSON renderers
├── requirements.txt
├── .env.example
└── README.md
```
---
## Troubleshooting
| Error | Fix |
|-------|-----|
| `❌ Missing API key` | Set `PSI_API_KEY` in `.env` or environment |
| `❌ API key rejected (HTTP 403)` | Verify the key is valid and PageSpeed Insights API is enabled in your Cloud project |
| `❌ Invalid URL (HTTP 400)` | Ensure the URL is publicly accessible and starts with `https://` |
| `⏳ Rate limited (HTTP 429)` | Reduce request frequency; the server retries automatically up to 3 times |
| `⏱️ Request timed out` | The page may be unreachable or very slow; try again |
| `pwa` category error | PWA category was removed from Lighthouse 12+ — do not pass `pwa` |
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues