umeng-openapi-mcp-server
Related Servers
Alternatives to umeng-openapi-mcp-server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceMCP server that provides product and web analytics capabilities, allowing AI coding assistants to query funnels, retention, trends, feature flags, A/B tests, and more in natural language.3MIT
- AlicenseAqualityFmaintenanceUnofficial MCP server that lets AI agents query Aptabase analytics using cookie-authenticated dashboard endpoints, providing tools for metrics, events, and sessions.171MIT
- AlicenseNot gradedqualityBmaintenanceMCP server for Umami Analytics that provides read-only tools to query website stats, events, sessions, reports, and more, enabling natural language analytics queries.16 npm3MIT
- AlicenseNot gradedqualityCmaintenanceAgent-first analytics MCP server for querying stats, funnels, and web/agent traffic, with server-side event ingestion and self-serve signup.78 npm-
- AlicenseBqualityDmaintenanceAn MCP server that provides access to the Mixpanel REST API, enabling AI agents to query events, funnels, retention data, and user profiles. It allows users to perform complex analytics tasks and export raw event data through natural language prompts.166 npmMIT
- AlicenseAqualityBmaintenanceA read-only MCP server for Umami analytics, enabling natural language queries of website stats, traffic trends, events, sessions, and analytics reports.1310 npm1Elastic 2.0
TDQS
Scored across 40 tools
Many tools have overlapping purposes, e.g., multiple tools for active users (umeng_get_active_users, umeng_uapp_get_active_users, umeng_uapp_get_active_accounts) and daily data (umeng_get_daily_data, umeng_uapp_get_daily_data, umeng_uapp_get_today_data). This makes it difficult for an agent to distinguish which tool to use.
Naming follows two patterns: 'umeng_get_*' and 'umeng_uapp_*', with variations like 'find' vs 'get'. While each pattern is internally consistent, the mix creates inconsistency. The snake_case convention is consistent overall.
40 tools is high but justifiable for a comprehensive analytics platform. However, many tools are redundant (e.g., multiple wrappers for similar data), suggesting the set could be streamlined.
The tool set covers a wide range of analytics endpoints: app management, events, channels, versions, retention, and various time-based statistics. Gaps are minor (e.g., lack of update/delete for events).