syncly-dataset-mcp
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TDQS
Scored across 8 tools
Each tool serves a distinct purpose: listing queries, describing datasets, computing metrics, retrieving posts by ID, ranking posts, executing SQL, searching by keyword, and searching for Voice of Customer. There is no overlap in functionality.
Most tools follow a consistent verb_noun pattern (e.g., list_data_queries, get_posts_by_ids, search_posts). However, 'safe_query' deviates from the pattern (adjective_noun), and the use of 'search_voc' instead of 'search_voice_of_customer' is slightly inconsistent.
8 tools is an ideal number for a dataset analytics MCP server. Each tool covers a necessary operation: discovering datasets, describing schema, computing metrics, retrieving posts, ranking, custom SQL, and two search methods. No tool feels redundant or missing.
The tool set covers the main analytics use cases: listing, describing, retrieving, searching, and computing metrics. Custom SQL via safe_query fills gaps for advanced aggregations. However, there is no tool for creating or modifying datasets, which is acceptable for a read-only analytics server.