plausible-mcp
Related Servers
Alternatives to plausible-mcp
No user-submitted related servers found.
Related Servers
- AlicenseBqualityFmaintenanceMCP server for Plausible Analytics, enabling querying of traffic, conversions, sources, and device breakdowns from any MCP-compatible AI assistant.1238 npmMIT
- AlicenseAqualityDmaintenanceMCP server that provides read access to Plausible Analytics data with natural-language date resolution, enabling users to query analytics like 'yesterday' or 'last week' without needing to know exact date formats.8MIT
- FlicenseBqualityCmaintenanceA read-only stdio-based MCP server that provides tools to query Plausible Analytics data, including listing sites, fetching statistics with metrics/dimensions/filters, and getting realtime visitor counts.3-
- AlicenseAqualityCmaintenanceEnables AI tools that support the Model Context Protocol to query Plausible Analytics traffic and conversion data, break metrics down by page, source, country, device, and UTM parameters, and compare two date ranges side by side. All query tools are read-only and work with either a hosted bring-your-own-key endpoint or a local STDIO install.453 npmMIT
- AlicenseAqualityAmaintenanceMCP server for Yandex Metrica analytics: query web analytics metrics, goals, conversions, and raw API data using natural language from AI clients like Claude and Cursor.8103 npm4MIT
- AlicenseAqualityCmaintenanceLets MCP clients answer questions about website traffic using Plausible Analytics Stats API v2 through read-only tools for totals, trends, breakdowns, and realtime visitors.5MIT
TDQS
Scored across 4 tools
The four tools have largely distinct purposes: time series trends, dimension breakdowns, goal conversions, and period comparisons. However, get_conversions can break down by page, which overlaps slightly with get_breakdown, though descriptions clarify the focus on goals.
All tool names follow a clear verb_noun pattern in snake_case: get_timeseries, get_breakdown, get_conversions, compare_periods. Minor deviation in verb (get_ vs compare_) is appropriate and predictable.
Four tools are well within the typical 3-15 range and each covers a distinct analytical need. It is slightly thin for a full analytics surface (e.g., no site listing or realtime), but not problematic for a focused metrics server.
Core analytical queries are covered, but there are notable gaps such as listing available sites, retrieving site metadata, or accessing realtime/current visitors. For a read-only analytics server, these omissions could force agents to work around missing context.