resplens-mcp
Related Servers
Alternatives to resplens-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to query U.S. public-health datasets such as disease surveillance, mortality, behavioral risk factors, and flu activity through the Socrata API, using natural language or direct tool calls.14 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to ask natural-language questions about weekly CDC NNDSS chlamydia, gonorrhea, and syphilis case counts and rates by state and week, returning trends, prior-year comparisons, and usual-range checks through validated read-only tools.MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to query and analyze FDA adverse events, drug labels, medical device clearances, and other public health datasets through natural language commands.14-
- AlicenseAqualityBmaintenanceEnables AI assistants to discover, retrieve, and compare official international development indicators from sources such as the World Bank, FAOSTAT, WHO, UNICEF, and IMF, while preserving source identifiers, units, and citations.102MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to query pre-aggregated VAERS vaccine adverse event report counts by vaccine, manufacturer, symptom, year, and severity, plus coverage metadata about the loaded dataset. Every response is count-only and carries an explicit non-causality disclaimer, so report volumes can be explored without being mistaken for confirmed safety signals.22 npmMIT
- AlicenseBqualityDmaintenanceProvides access to comprehensive public health data from Yale's Population Health Information Visual Explorer, including metrics on immunizations, respiratory diseases, and chronic conditions. It enables users to perform state-level comparisons, time-series analysis, and data filtering across authoritative sources like the CDC and Epic Cosmos.524MIT
TDQS
Scored across 6 tools
The tools mostly have clearly distinct roles: metadata discovery, state metadata, series retrieval, reliability summaries, revisions, and point-in-time snapshots. However, get_series, get_revisions, and get_as_of all return series-like values and require careful reading to choose correctly.
All names use snake_case and are generally verb-first, making the set readable and predictable. The verbs vary between describe, get, and check, and get_as_of is slightly less parallel than the other names.
Six tools is well-scoped for a focused public-health data server. Each tool covers a distinct stage of the workflow: discovery, retrieval, quality assessment, revision history, and historical backtesting.
The surface covers measure discovery, state metadata, weekly series, reliability caveats, revisions, and as-of queries, which is strong lifecycle coverage for this domain. A minor gap is the lack of an explicit list_states or region-enumeration tool, though agents can likely work around it.