OpenFDA MCP Server
Related Servers
Alternatives to OpenFDA MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseBqualityDmaintenanceA comprehensive MCP server that provides access to U.S. FDA public datasets via the openFDA API, enabling querying of drug adverse events, labeling, recalls, approvals, shortages, NDC directory, and medical device regulatory data.1024-
- AlicenseAqualityCmaintenanceAn MCP server that enables AI assistants to query U.S. FDA public datasets, including drug adverse events, labeling, recalls, approvals, shortages, NDC directory, and medical device regulatory information.10MIT
- AlicenseNot gradedqualityDmaintenanceMCP server for clinical and pharmaceutical data, enabling search of ClinicalTrials.gov, PubMed, FDA, and ICH guidelines without API keys.19 npmMIT
- AlicenseNot gradedqualityCmaintenanceThis MCP server provides authoritative medical data from FDA, WHO, PubMed, RxNorm, and Google Scholar, enabling drug information lookup, health statistics retrieval, medical literature searching, and clinical guidelines access directly in AI workflows.75 npmMIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that provides comprehensive medical information by querying authoritative APIs including FDA, WHO, PubMed, RxNorm, and Australia's PBS, enabling drug searches, health statistics, medical literature, drug nomenclature, and PBS subsidy queries.75 npmMIT
- AlicenseBqualityDmaintenanceAn MCP server that provides comprehensive medical information by querying multiple authoritative medical APIs including FDA, WHO, PubMed, Google Scholar, and RxNorm.231175 npm112MIT
TDQS
Scored across 14 tools
Each tool targets a distinct domain and sub-domain (e.g., device vs. drug, 510k vs. recall), with clear prefixes that prevent confusion. Even similar tools like adverse events for devices and drugs are easily distinguishable.
All tools follow a consistent 'search_<domain>_<specific>' pattern, with underscores separating categories. No mixing of styles or vague verbs.
With 14 tools covering both medical devices and pharmaceuticals, the count is well-scoped for the breadth of data. Each tool addresses a specific query type without unnecessary duplication.
The set covers major FDA databases for devices (510k, recalls, classifications, adverse events) and drugs (labels, NDC, recalls, shortages, approved drugs), plus specialized resources like Orange Book and Purple Book. There are no obvious gaps for the stated purpose.