@jakeyShakey
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"analytics_service": {
"command": "uv",
"args": [
"--directory",
"/path/to/analytics_service",
"run",
"analytics-service"
],
"env": {
"UMAMI_API_URL": "https://example.com",
"UMAMI_USERNAME": "yourUmamiUsername",
"UMAMI_PASSWORD": "yourUmamiPassword",
"UMAMI_TEAM_ID": "yourUmamiTeamId"
}
}
}
}Retrieve a list of websites and their IDs in your Umami account
Get key metrics like pageviews, visitors, bounce rate for a website
Analyze specific metrics like URLs, referrers, browsers, countries
Get time-series pageview data with customizable intervals
Monitor current number of active visitors on a website
Retrieve session IDs for specific events or time periods
Get detailed activity data for a specific session ID
Perform semantic search on many user journeys, returning the most relevant chunks for a given question
Capture visual snapshots of webpages
Retrieve and analyze webpage HTML source code
An MCP server that gives Claude access to Umami website analytics data, enabling analysis of user behavior, website performance, and data-driven insights. It connects to your Umami platform (self-hosted or Umami Cloud) and provides tools for retrieving metrics, tracking visitors, capturing screenshots, and analyzing page content.
Configure Claude Desktop with the analytics_service MCP server entry pointing to your local copy of the server, supplying UMAMI_API_URL, UMAMI_USERNAME, UMAMI_PASSWORD, and UMAMI_TEAM_ID. After starting Claude Desktop, 10 tools become available. Use the built-in “Create Dashboard Prompt” or natural language requests to have Claude analyze your data.
The server provides 10 tools: `get_websites`, `get_website_stats`, `get_website_metrics`, `get_pageview_series`, `get_active_visitors`, `get_session_ids`, `get_tracking_data`, `get_docs`, `get_screenshot`, and `get_html`.
You need `uv` installed (`pip install uv`). The server runs locally via `uv` and connects to your Umami instance (self‑hosted or Umami Cloud). It also uses the open‑source Crawl4AI web crawler for screenshots and HTML retrieval.
All analytics data stays in your Umami instance. The server queries the Umami API and does not store any data. User journeys are temporarily embedded and searched in memory (using a Hugging Face sentence transformer) to avoid context window issues.
Screenshots are downsampled to reduce size and avoid context window limits. The `get_docs` tool performs semantic search on chunked user journeys to keep token usage low.
The server uses standard MCP transport (stdio) via the `uv` command. Authentication is handled by supplying Umami credentials (`UMAMI_USERNAME`, `UMAMI_PASSWORD`) and a team ID in the environment variables.
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