F
licenseNot graded
qualityD
maintenanceEnables querying FDA drug approvals, device clearances (510(k)), recalls, and adverse events via the openFDA API, providing tools for clinical and pharmaceutical research.
1
-
FAERS MCP Server
by drvvek
Related Servers
Alternatives to FAERS MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables drug safety, interactions, adverse events, and regulatory data queries using free sources like DrugBank, WHO, FDA FAERS, and more. Provides tools for checking drugs, interactions, adverse events, and searching across pharmaceutical databases.MIT
- AlicenseNot gradedqualityAmaintenanceQuery FDA data on drugs, food, devices, and recalls via openFDA. Provides 12 tools for searching adverse events, drug labels, recalls, and more.135 npm4Apache 2.0
- AlicenseAqualityDmaintenanceEnables LLMs to search FDA drug labels and adverse event data via the OpenFDA API, supporting natural language queries for drug safety information.2MIT
- 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.13-
- AlicenseAqualityDmaintenanceEnables querying FDA drug label information including adverse reactions, warnings, and indications via natural language.510 npm1GPL 3.0
TDQS
A3.9/5.0
Scored across 15 tools
Disambiguation4/5
Most tools have clearly distinct purposes, but there is notable overlap among counting/aggregation tools (faers_case_counts, faers_count_by_field, faers_top_events) and signal detection tools (faers_signal_screen vs faers_disproportionality). The detailed descriptions clarify scope (e.g., top_events is a convenience form, signal_screen screens all terms), so an agent can usually tell them apart, but a few could still be confused.
Naming Consistency4/5
All tools use a consistent faers_ prefix and snake_case, which is predictable. However, the naming pattern is not strictly verb_noun throughout; it mixes verb phrases (search_cases, get_report) with noun phrases (case_counts, demographic_profile) and acronyms (ebgm). This is a minor deviation from the ideal verb_noun consistency.
Tool Count5/5
15 tools is appropriate for a comprehensive FAERS analysis server, covering search, retrieval, aggregation, signal detection, and specialized metrics. Each tool appears to earn its place, with only minor redundancy (e.g., top_events as a convenience wrapper). The count is at the upper end of the ideal 3-15 range but well-scoped.
Completeness5/5
The tool set covers the full lifecycle of FAERS analysis: search (structured and raw), retrieval, counts, disproportionality, EBGM, demographics, outcomes, trends, and co-reported drugs. Field description and cache warming are also included. No obvious gaps for typical signal detection workflows.
Maintenance
ActivityMaintained
ResponsivenessNo issues