Search FDA drug adverse event reports to identify side effects and patient reactions using openFDA data with quality scoring and audit verification.
127,308 tools. Last updated 2026-05-05 13:37
"Research on Patient-Disease-Gene-Drug Relationships and Pharmacogenomics Using Digital Imaging Data" matching MCP tools:
- Execute pre-built queries on Alliance of Genome Resources data to retrieve gene orthologs, GO terms, disease associations, and other genomic information using parameterized templates.MIT
- Search PubMed for peer-reviewed biomedical literature on research papers, drug mechanisms, and clinical studies. Returns up to 10 results per query.MIT
- Retrieve detailed gene annotations, including names, summaries, aliases, types, and database links from MyGene.info. Use for accurate, real-time gene information on symbols or IDs like TP53 or BRAF.
- Search FDA drug product labels (SPL) for prescribing information. Find approved indications, dosage guidelines, contraindications, warnings, drug interactions, adverse reactions, and special population considerations. Plan research strategy using the 'think' tool first.
Matching MCP Servers
- Alicense-qualityBmaintenancePharmaceutical R\&D Pipeline Intelligence for AI Agents — Clinical trials, FDA approvals, drug information & publications in one MCP server.Last updatedMIT
- Flicense-quality-maintenanceEnables querying of Chinese-Western medicine interactions with comprehensive drug information, risk assessment, and clinical recommendations. Supports searching medicines, checking interactions individually or in batches, and provides safety guidance with severity classifications.Last updated
Matching MCP Connectors
Disease MCP — wraps disease.sh API (COVID-19 statistics, no auth required)
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- Retrieve comprehensive disease details, including definitions, synonyms, ontology mappings, and associated phenotypes, directly from MyDisease.info via BioMCP. Ideal for precise biomedical research.
- Retrieve detailed drug and chemical information from MyChem.info, including properties, identifiers, trade names, clinical indications, mechanism of action, and pharmacology details. Use this tool for accurate drug data after clarifying research goals with the 'think' tool.
- Search FDA Adverse Event Reporting System (FAERS) to identify drug side effects, serious reactions, and safety signals across patient populations. Use to gather insights from voluntary reports on adverse drug events.
- Analyze gene lists to identify overrepresented biological processes using Gene Ontology enrichment, helping interpret gene expression data and uncover functional implications.MIT
- Analyze gene lists to identify overrepresented biological terms, pathways, and functions across multiple databases using statistical enrichment analysis.MIT
- Retrieve prevalence rates and patient counts for pathologies in La Réunion, filtered by disease keyword, age, sex, and year. Sorted descending by patient count.
- Retrieve all drug safety flags for a patient, with optional filter by status (active, resolved, under_review).MIT
- Retrieve leading causes of death in the U.S. by state and year, covering data from 1999 to 2017. Includes causes such as heart disease, cancer, and kidney disease.MIT
- Search FDA adverse event reports for side effects, reactions, and patient demographics. Query the FAERS database by drug name or reaction term to obtain structured safety data.
- Check a list of medications for known drug-drug interactions and receive severity-classified results to enhance patient safety.MIT
- Retrieve disease associations for a gene, including human disease models and annotations, using genomics data from the Alliance of Genome Resources.MIT
- Search PACS for medical imaging studies or series using filters like patient ID, date, modality, and description. Supports DICOM protocols C-FIND and QIDO-RS.MIT
- Search for patient conditions using Medplum MCP Server by entering patient ID, clinical status, category, or code. Filter and retrieve condition data efficiently.MIT
- Analyze drug safety by extracting and comparing adverse events data across clinical trials to assess risks and dose-response relationships.GPL 3.0