About plausible-mcp-server
plausible-mcp-server connects MCP-compatible assistants to Plausible Analytics for querying website traffic, conversions, and site details. Its tools cover real-time counts, time-series, and breakdowns across traffic, events, goals, and devices.
Key features
- 01Flexible metrics, dimensions, filters, and date ranges
- 02Real-time visitor counts
- 03Traffic and UTM breakdowns
- 04Time-series queries
- 05Event, goal, and conversion analytics
- 06Entry, exit, and device reports
Use cases
- 01Review traffic sources for a date range
- 02Check current visitor counts
- 03Compare goal conversions and custom events
- 04Inspect landing pages and device breakdowns
MCP support
Exposes 12 Plausible Analytics tools to MCP clients, including statistics queries, breakdowns, site management, and conversion reporting. Requires a Plausible API key and supports a custom API base for self-hosted instances.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEPlausible Analytics MCP Server
MCP server for Plausible Analytics — privacy-friendly web analytics. Query traffic, conversions, sources, and device breakdowns from any MCP-compatible AI assistant.
Features
- Flexible stats queries — metrics, dimensions, filters, date ranges
- Real-time visitors — live visitor count
- Traffic breakdowns — sources, countries, browsers, UTM campaigns
- Time-series data — daily, weekly, monthly, hourly intervals
- Custom events — event tracking and conversion rates
- Entry/exit pages — where visitors land and leave
- Device analytics — browser, OS, screen size breakdowns
- Goal tracking — conversion stats for all configured goals
- Site management — list and inspect sites
12 Tools
| Tool | Description |
|---|---|
query_stats | Full flexible stats query (the main endpoint) |
realtime_visitors | Current real-time visitor count |
get_breakdown | Breakdown by any dimension (source, page, country, etc.) |
get_timeseries | Metrics over time with configurable intervals |
list_sites | List all sites in your account |
get_site | Get site details |
get_custom_events | Custom event breakdown |
get_entry_pages | Top landing pages |
get_exit_pages | Top exit pages |
get_utm_stats | UTM campaign/source/medium breakdowns |
get_device_stats | Browser, OS, screen size breakdowns |
get_goals | Conversion stats for all goals |
Setup
Prerequisites
- A Plausible Analytics account (cloud or self-hosted)
- An API key — generate one at Site Settings → API Keys in your Plausible dashboard
Configuration
Add to your MCP client config (e.g. Claude Desktop, Cursor):
{
"mcpServers": {
"plausible": {
"command": "node",
"args": ["/path/to/plausible-mcp-server/dist/index.js"],
"env": {
"PLAUSIBLE_API_KEY": "your-api-key-here"
}
}
}
}
For self-hosted Plausible, also set:
"env": {
"PLAUSIBLE_API_KEY": "your-api-key",
"PLAUSIBLE_API_BASE": "https://your-plausible-instance.com"
}
Build from source
git clone https://github.com/friendlygeorge/plausible-mcp-server.git
cd plausible-mcp-server
npm install
npx tsc
Usage Examples
Once configured, ask your AI assistant:
- "Show me the top traffic sources for my site this month"
- "How many visitors did I get today?"
- "What's the time-series of pageviews for the last 30 days?"
- "Which pages have the highest bounce rate?"
- "Show me UTM campaign performance"
- "What are my top entry pages?"
- "Show conversion rates for all goals"
- "Break down visitors by country for the last week"
Environment Variables
| Variable | Required | Default | Description |
|---|---|---|---|
PLAUSIBLE_API_KEY | Yes | — | Your Plausible API key |
PLAUSIBLE_API_BASE | No | https://plausible.io | API base URL (change for self-hosted) |
Supported Metrics
visitors, visits, pageviews, views_per_visit, visit_duration, events, bounce_rate, scroll_depth, conversion_rate
Supported Dimensions
visit:source, visit:referrer, visit:utm_source, visit:utm_medium, visit:utm_campaign, visit:utm_content, visit:utm_term, visit:country_name, visit:city_name, visit:screen, visit:browser, visit:browser_version, visit:os, visit:os_version, visit:entry_page, visit:exit_page, event:page, event:name, event:goal, event:props:<key>
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.