Pharma MCP
Related Servers
Alternatives to Pharma MCP
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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
- 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-
- AlicenseAqualityDmaintenanceEnables LLMs to search FDA drug labels and adverse event data via the OpenFDA API, supporting natural language queries for drug safety information.2MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants and MCP clients to query FDA drug labels, FAERS adverse-event reports, recalls, and label-documented drug interactions, returning structured, cited results.MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to access FDA and ClinicalTrials.gov data for medical device compliance, adverse event monitoring, and regulatory due diligence.-
- AlicenseAqualityDmaintenanceEnables querying FDA drug label information including adverse reactions, warnings, and indications via natural language.57 npm1GPL 3.0
TDQS
Scored across 6 tools
Each tool targets a distinct information need: drug label lookup, FAERS adverse event frequencies, pharmacovigilance signal statistics, recalls, trial search, and trial detail. The only near-overlap is search_trials vs get_trial and get_adverse_events vs signal_check, but the descriptions clearly separate search/detail and frequency/signal-analysis purposes.
All names use snake_case and most follow a verb_noun pattern, such as search_drug_labels, get_adverse_events, search_trials, and get_trial. Two names, signal_check and drug_recalls, deviate into noun-oriented phrasing, but the overall convention remains readable and predictable.
Six tools is well-scoped for a focused pharma safety and clinical trials server. Each tool covers a distinct resource or analysis operation, with no obvious filler tools.
The server covers drug labels, adverse events, signal detection, recalls, and clinical trial search/detail, which is strong lifecycle coverage for its apparent purpose. Minor gaps include drug-drug interactions and regulatory/approval lookup, but agents can work around these for most pharmacovigilance workflows.