LINDAS MCP Server
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TDQS
Scored across 8 tools
Each tool has a clearly distinct purpose: discovery (list_cubes, search_datasets), schema exploration (get_cube_structure, get_dimension_values, get_cantons), counting (count_observations), querying (query_observations), and geography resolution (resolve_geography). No two tools overlap in function.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., count_observations, get_cube_structure, list_cubes). The naming is predictable and easy to parse.
With 8 tools, the server is well-scoped for its purpose of exploring and querying Swiss open data cubes. Each tool earns its place, covering discovery, schema analysis, and data retrieval without unnecessary redundancy.
The tool set covers the full workflow for a read-only data cube explorer: discovering cubes, understanding structure and dimensions, filtering with valid values, counting results, and fetching observations. The inclusion of geography resolution and text search fills common needs.