analytics-mcp-server
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- FlicenseAqualityCmaintenanceEnables AI agents to safely explore and query a SQLite database in read-only mode, allowing them to inspect schema and run analytical SQL queries without risking data modification.3-
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- AlicenseNot gradedqualityBmaintenanceEnables AI agents to safely query and explore SQLite databases through read-only, guard-protected tools that block writes, sensitive table access, and runaway queries.1MIT
- AlicenseNot gradedqualityCmaintenanceEnables Claude to safely explore and query a SQLite database through natural language, including listing tables, inspecting schemas, and running read-only SELECT queries.488 npmMIT
TDQS
Scored across 5 tools
Each tool has a clear, distinct purpose: listing tables, describing schemas, importing data, running custom queries, and performing common aggregations. No overlap or ambiguity.
All tools use the 'analytics_' prefix and snake_case. Most follow a verb_noun pattern (e.g., describe_table, list_tables), but 'analytics_aggregate' lacks a noun, which is a minor inconsistency.
With 5 tools covering exploration (list, describe), querying (run, aggregate), and data loading (import), the count is well-scoped for an analytics server. Not too few, not too many.
Covers core analytics workflows: schema discovery, custom queries, common aggregations, and data import. Minor gaps include lack of an export tool or more advanced statistical functions, but these can be addressed via custom queries.