A
licenseB
qualityD
maintenanceEnables medical evidence retrieval and analysis via AI-powered search and summarization tools.
14
5 npm
MIT
Medical Research MCP Suite
by ezhou89
Related Servers
Alternatives to Medical Research MCP Suite
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to access FDA and ClinicalTrials.gov data for medical device compliance, adverse event monitoring, and regulatory due diligence.-
- AlicenseNot gradedqualityDmaintenanceIntegrates with EMRs like Cerner and Epic via FHIR to retrieve patient data, and provides medical research tools (PubMed, clinical trials, FDA) for clinical analysis.1MIT
- FlicenseNot gradedqualityDmaintenanceEnables searching clinical trials, PubMed, Open Targets, and openFDA data, with optional Vertex AI grounding for regulatory context.-
- FlicenseNot gradedqualityDmaintenanceEnables searching and retrieving information from the ClinicalTrials.gov database of over 400,000 clinical studies, including trial details, eligibility criteria, locations, and results across 220+ countries.5-
- AlicenseCqualityCmaintenanceEnables AI assistants to query ClinicalTrials.gov and PubMed for research evidence, and to compare regulatory document changes against internal files, with strict read-only access and no ability to modify or export data.5Apache 2.0
TDQS
B3.2/5.0
Scored across 13 tools
Disambiguation3/5
Tools have overlapping purposes, especially among the 'research_' prefixed ones (e.g., research_clinical_details, research_safety_details, research_drug_safety_profile, research_comprehensive_analysis), which could cause confusion about which to use for specific analyses. However, descriptions provide some differentiation, such as focusing on clinical trials, safety, or combined data.
Naming Consistency4/5
Most tools follow a consistent pattern with prefixes like 'ct_', 'fda_', 'pm_', and 'research_' followed by descriptive names, though there are minor deviations (e.g., 'ct_get_study' vs. 'ct_search_trials' uses different verbs, and 'research_executive_summary' is more abstract). Overall, naming is readable and mostly predictable.
Tool Count5/5
With 13 tools, the count is well-scoped for a medical research suite, covering multiple databases (ClinicalTrials.gov, FDA, PubMed) and various analysis types (search, details, safety, summaries). Each tool appears to serve a distinct purpose within the domain, justifying its inclusion.
Completeness5/5
The tool set provides comprehensive coverage for medical research, including search and detailed analysis across clinical trials, literature, safety data, and market insights. It supports full workflows from data retrieval (e.g., ct_search_trials) to integrated analyses (e.g., research_comprehensive_analysis), with no obvious gaps for the stated purpose.
Maintenance
ActivityInactive
ResponsivenessNo issues