mcp-ClinicalTrial
Related Servers
Alternatives to mcp-ClinicalTrial
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceMCP server for clinical and pharmaceutical data, enabling search of ClinicalTrials.gov, PubMed, FDA, and ICH guidelines without API keys.23 npmMIT
- AlicenseAqualityCmaintenanceClinical research MCP server providing real-time access to PubMed (35M+ papers) and ClinicalTrials.gov (400K+ trials). Built for trial coordinators and life sciences teams. No API key required.33MIT
- FlicenseNot gradedqualityDmaintenanceA production-quality MCP server that wraps the ClinicalTrials.gov v2 API, providing structured, TTL-cached access to trial data worldwide and Turkey via 4 MCP tools.-
- 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-
- AlicenseAqualityBmaintenanceAn 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
- FlicenseBqualityBmaintenanceAn MCP server that provides AI-assisted clinical decision support for medication safety, integrating trusted biomedical sources to detect drug interactions and suggest therapeutic alternatives.51-
TDQS
Scored across 5 tools
Most tools have distinct purposes, but there is some potential overlap between 'analyze_safety_profile' and 'compare_adverse_events' as both involve adverse events analysis. The descriptions help differentiate them, with one focusing on overall safety profiling and the other on group comparisons, but an agent might initially confuse their scopes.
The naming conventions are mixed, with tools using verb_noun patterns like 'search_clinical_trials' and 'get_study_details', but others like 'ae_pipeline_rag' and 'analyze_safety_profile' deviate with acronyms or noun-heavy structures. This inconsistency reduces predictability, though the names remain generally readable.
With 5 tools, the count is well-scoped for a clinical trial server, covering search, retrieval, and analysis functions. Each tool appears to earn its place without redundancy, providing a focused set for typical agent workflows in this domain.
The tool set covers core operations like search, retrieval, and analysis of clinical trial data, with good lifecycle coverage from finding trials to detailed analysis. A minor gap exists in update or management functions, but this is reasonable for a read/analysis-focused server, and agents can work around it effectively.