Pharmacist MCP

Tools

• pharmacy_mcp_brand_to_generic_lookup_mcp Converts a drug brand name to its generic (active ingredient) name. It can also provide information on the countries where the brand name is marketed. This tool is fundamental for identifying the active component of a branded medication, which is necessary for most other clinical lookups and to avoid therapeutic duplication. Returns: JSON string with generic drug information and country-specific data
• pharmacy_mcp_calculate_bmi_mcp Calculates a person's Body Mass Index (BMI) based on their weight and height. BMI is a widely used screening tool to categorize weight status (e.g., underweight, normal weight, overweight, obese) and identify potential health risks associated with weight. Returns: JSON string with BMI calculation and weight category classification
• pharmacy_mcp_calculate_child_pugh_score_mcp Calculates the Child-Pugh score, a well-established tool for assessing the prognosis of chronic liver disease, primarily cirrhosis. The score is used to determine the severity of liver disease and to guide dosage adjustments for drugs that are metabolized by the liver. Returns: JSON string with Child-Pugh score, class, and prognosis information
• pharmacy_mcp_calculate_creatinine_clearance_mcp Calculates a patient's creatinine clearance (CrCl) using the Cockcroft-Gault equation. CrCl is an estimate of the glomerular filtration rate (GFR) and is widely used to determine appropriate dose adjustments for drugs that are cleared by the kidneys. This is a standard clinical calculator for renal function assessment. Returns: JSON string with creatinine clearance calculation and interpretation
• pharmacy_mcp_calculate_drug_burden_index_mcp Calculates the Drug Burden Index (DBI) for a patient's medication list. The DBI is a measure of a person's total exposure to anticholinergic and sedative drugs, which are associated with an increased risk of falls and cognitive impairment, especially in the elderly. This intelligent version automatically detects the route of administration for each medication (e.g., oral, transdermal patches, parenteral injections) and uses the appropriate reference data for each route, making it suitable for complex, real-world medication regimens. Returns: JSON string with DBI calculation results broken down by route and individual drug contributions
• pharmacy_mcp_calculate_egfr_mcp Calculates the estimated Glomerular Filtration Rate (eGFR) using the CKD-EPI 2021 equation. eGFR is a key indicator of kidney function and is used to diagnose, stage, and manage Chronic Kidney Disease (CKD). This is the preferred method for assessing kidney function in many clinical guidelines. Returns: JSON string with eGFR calculation and CKD stage interpretation
• pharmacy_mcp_calculate_ideal_body_weight_mcp Calculates a patient's Ideal Body Weight (IBW) using the Devine formula. IBW is used in various clinical contexts, including for calculating the dose of certain medications (e.g., aminophylline, digoxin) and for assessing nutritional status. Returns: JSON string with IBW calculation.
• pharmacy_mcp_calculate_naranjo_score_mcp Calculates the Naranjo score, a standardized and widely used causality assessment tool to determine the probability that an adverse event is related to a specific drug. The score helps clinicians and researchers classify the likelihood of an adverse drug reaction (ADR) as doubtful, possible, probable, or definite. Sometimes the user might not have provided all the information, so you will need to ask for the missing information (remember to give them the option to say "unknown" if they don't know the answer). Returns: JSON string with score, probability category, and detailed breakdown
• pharmacy_mcp_convert_creatinine_units_mcp Converts serum creatinine values between the two standard units of measurement: milligrams per deciliter (mg/dL) and micromoles per liter (μmol/L). This is essential for interoperability, as different laboratories and clinical calculators may use different units. Returns: JSON string with converted creatinine value and conversion factor
• pharmacy_mcp_disproportionality_analysis_mcp Performs a disproportionality analysis (also known as signal detection) on adverse event data. This statistical method compares the reporting rate of a specific drug-event combination to the reporting rate of that event for all other drugs in the database. It calculates metrics like Proportional Reporting Ratio (PRR) and Reporting Odds Ratio (ROR) to identify potential safety signals that may warrant further investigation. Returns: JSON string with PRR, ROR, IC values and statistical significance
• pharmacy_mcp_drug_dose_adjustments_mcp Extracts dosing adjustment recommendations for patients with kidney (renal) or liver (hepatic) impairment from the official FDA drug label. This is a crucial tool for safe and effective dosing in special populations where standard doses may be harmful or ineffective. Returns: JSON string with renal and hepatic dosing excerpts
• pharmacy_mcp_drug_label_warnings_mcp Fetches critical safety information from the official FDA drug label. This includes boxed warnings (the most serious type), contraindications (situations where the drug should not be used), and known drug interactions. This is a primary tool for assessing a drug's major safety risks before prescribing or dispensing. Returns: JSON string with boxed warnings, contraindications, and interaction data
• pharmacy_mcp_drug_livertox_summary_mcp Queries the NIH LiverTox database to retrieve a summary of a drug's potential for causing liver injury (hepatotoxicity). This tool is valuable for investigating or assessing the risk of drug-induced liver damage, providing information on the mechanism of injury, and clinical management advice. Returns: JSON string with hepatotoxicity data, mechanism of injury, and management information
• pharmacy_mcp_drug_pregnancy_lactation_mcp Retrieves specific sections from the FDA drug label related to use during pregnancy and lactation. This tool is essential for assessing the safety of a medication for patients who are pregnant, planning to become pregnant, or breastfeeding. It provides the official guidance and available data on potential risks. Returns: JSON string with pregnancy text, lactation text, and reproductive potential information
• pharmacy_mcp_drug_recalls_mcp Searches for recent FDA-issued recall events for a specific drug product. This is critical for ensuring patient safety by identifying if a drug or specific batch has been recalled due to manufacturing defects, contamination, or other safety concerns. The results include details on the recall reason, status, and affected lots. Returns: JSON string with recall notices including recall number, status, and reason
• pharmacy_mcp_enhanced_faers_search_mcp Performs an advanced search of the FDA Adverse Event Reporting System (FAERS) database with powerful filtering options. This tool is designed for in-depth pharmacovigilance analysis, allowing users to narrow down adverse event reports by patient age, gender, and the seriousness of the event. It's ideal for identifying trends and patterns in drug safety data. Use this tool particularly if the user asks about a specific adverse event or reaction. Returns: JSON string with enhanced case data including demographics and outcomes
• pharmacy_mcp_fetch_event_details_mcp Retrieves the complete details of a specific adverse event case from the FDA Adverse Event Reporting System (FAERS) using its unique safety report ID. Use this tool when you need to dive deep into a particular case found via 'search_adverse_events_mcp' to understand the full context, including patient demographics, concomitant medications, and the full narrative of the event. Returns: JSON string with structured case data including drugs, reactions, and full record
• pharmacy_mcp_find_similar_cases_mcp Identifies and retrieves adverse event cases from the FAERS database that are similar to a given reference case. Similarity is calculated based on a combination of patient demographics (age, gender), reported reactions, and concomitant drugs. This tool is useful for contextualizing a specific case and identifying potential case series for further review. Returns: JSON string with similar cases and similarity scores
• pharmacy_mcp_recommend_dosing_weight_mcp Recommends the most appropriate weight to use for medication dosing calculations (i.e., actual, ideal, or adjusted body weight) based on the patient's actual weight and height. This is crucial for obese or underweight patients, as using the wrong weight can lead to sub-therapeutic or toxic drug levels for certain medications. Returns: JSON string with dosing weight recommendation and rationale
• pharmacy_mcp_search_adverse_events_mcp Searches the FDA Adverse Event Reporting System (FAERS) database for adverse events associated with a specific drug. This tool is useful for initial investigation into a drug's safety profile by retrieving summaries of reported adverse event cases. It provides a quick overview of potential side effects reported by healthcare professionals and the public. Returns: JSON string with adverse event contexts and metadata
• pharmacy_mcp_temporal_analysis_mcp Analyzes the temporal relationship between drug administration and the onset of adverse events. This tool provides insights into the typical time-to-onset for a specific drug-associated adverse event, which can be a critical factor in causality assessment. It helps determine if the timing of the event is consistent with the drug's known pharmacology. Returns: JSON string with temporal patterns and time-to-onset analysis

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