eplusout-mcp
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- FlicenseNot gradedqualityCmaintenanceExposes EnergyPlus building simulation tools as MCP endpoints, enabling LLMs to run closed-loop energy optimization while maintaining occupant comfort.-
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- FlicenseNot gradedqualityDmaintenanceIntegrates multiple XRPL data sources including LOS, Validator History Service, XRPL JSON-RPC, and XRPLMeta to provide comprehensive querying of XRPL network data, accounts, transactions, tokens, validators, and more via MCP tools.-
TDQS
Scored across 19 tools
Multiple tools have unclear boundaries: search_epjson_objects and search_related_objects both search by pattern, and execute_query/execute_multiline_query overlap heavily with the pandas-on-timeseries/html-table variants. The generic execute_query tools also have an ambiguous data source (file_hash) with no tool to obtain it, making them easy to confuse with the model-specific query tools.
All tool names use snake_case and mostly follow a verb_noun pattern (get_, search_, list_, execute_). Minor deviations exist, such as get_timeseries_report_by_rddid_list placing 'list' at the end and get_sql_available_hourlies using an awkward adjective order, but the overall convention is predictable.
With 19 tools, the set falls in the borderline heavy range. Several tools are near-duplicates (single-line vs multi-line query variants, and multiple pandas-execution tools), inflating the count beyond what the core domain requires. A leaner set of 12-15 tools would be more coherent.
The core domain of EnergyPlus model exploration, HTML table retrieval, timeseries extraction, and epJSON object inspection is largely covered. However, execute_query and execute_multiline_query are dead ends because no tool exposes how to obtain a file_hash, and there is no way to enumerate all HTML tables without knowing keywords. These gaps will cause agent confusion.