ClinicalTrials.gov MCP Integration for AI Agents

Search ClinicalTrials.gov database for clinical trials. This is the PRIMARY tool for finding trials. WHEN TO USE: - Finding trials for a disease/condition (e.g., 'What trials exist for lung cancer?') - Finding trials testing a specific drug/treatment (e.g., 'Find pembrolizumab trials') - Finding trials in a geographic area (e.g., 'Clinical trials in Boston') - General trial discovery and research questions USE DIFFERENT TOOLS FOR: - Detailed info on a specific trial by NCT ID -> use get_trial_details - All trials by a specific company -> use search_by_sponsor (or search_trials with sponsor=...) - Analyzing endpoints/outcomes -> use analyze_endpoints - Patient eligibility matching -> use search_by_eligibility QUERY SYNTAX (for condition, intervention, sponsor, location): - Boolean: 'cancer AND immunotherapy', 'aspirin OR ibuprofen', 'tumor NOT benign' - Exact phrase: '"breast cancer"' (with quotes) - Grouping: '(lung OR breast) AND cancer' - Synonyms are automatically included (e.g., 'heart attack' finds 'myocardial infarction') BEST PRACTICES: - Start with condition parameter for disease-focused searches - Add status=['RECRUITING'] to find active trials patients can join - Use phase filter for specific development stages (PHASE1, PHASE2, PHASE3, PHASE4) - Set count_total=true to know total matches (useful for: 'How many trials exist for X?') - Use page_size=50-100 for broader overviews, page_size=10 for quick lookups

Get comprehensive details for a specific clinical trial using its NCT ID. WHEN TO USE: - User provides a specific NCT ID (e.g., 'Tell me about NCT04567890') - Need full eligibility criteria, endpoints, or locations for a specific trial - Following up on a trial found via search_trials - Answering detailed questions about a known trial - Verifying patient eligibility for a specific trial USE search_trials INSTEAD FOR: - Finding trials (this tool requires knowing the NCT ID) - Browsing trials by condition/intervention/sponsor WHAT THIS RETURNS: - Full eligibility criteria (inclusion/exclusion) - Study design and methodology - Primary, secondary, and other endpoints with timeframes - All study locations with contact info - Sponsor and collaborator details - Study dates and enrollment numbers - Results link if trial has published results NCT ID FORMAT: 'NCT' followed by 8 digits (e.g., NCT04567890, NCT00001234)

Find all clinical trials sponsored by a specific company or organization. Functionally equivalent to search_trials(sponsor=...). WHEN TO USE: - Questions about a company's pipeline (e.g., 'What is Pfizer working on?') - Competitive intelligence (e.g., 'What cancer drugs is Novartis developing?') - Tracking pharma company portfolios and development programs - Finding trials from academic institutions (e.g., 'Mayo Clinic', 'NIH') USE search_trials INSTEAD FOR: - Disease-focused searches where sponsor doesn't matter - Finding trials by treatment name rather than sponsor EXAMPLES: - 'Pfizer Phase 3 trials' -> sponsor_name='Pfizer', phase=['PHASE3'] - 'Moderna COVID vaccines' -> sponsor_name='Moderna', condition='COVID-19' - 'Active Merck oncology trials' -> sponsor_name='Merck', condition='cancer', status=['RECRUITING'] TIPS: - Partial names work: 'Pfizer' matches 'Pfizer Inc', 'Pfizer Pharmaceuticals' - Set count_total=true to get total number of trials by sponsor - Combine with phase filter to see early vs late stage pipeline

Find principal investigators (PIs) and research sites conducting trials in a therapeutic area. WHEN TO USE: - 'Who are the leading researchers in Alzheimer trials?' - 'Find investigators at Mayo Clinic working on cancer' - 'Which sites in California are running diabetes trials?' - Site selection for planning new trials - Building investigator networks and collaborations USE search_trials FOR: - Finding trials themselves rather than investigators - When you need trial details, not investigator info WHAT THIS RETURNS: - Investigator names and roles (Principal Investigator, Sub-Investigator) - Institutional affiliations - Facility/site names - Geographic locations - Associated trial NCT IDs and titles TIPS: - Use condition parameter to focus on a disease area - Add institution to find investigators at specific hospitals/universities - Use location for geographic focus (city, state, country) - Increase page_size to 50-100 for more comprehensive investigator lists - Use investigator_name for direct name search via advanced query syntax ADVANCED: For direct investigator name search, use the investigator_name parameter which searches in OverallOfficialName and ResponsiblePartyInvestigatorFullName fields.

Analyze primary and secondary outcome measures (endpoints) from clinical trials. MODES (provide ONLY nct_id OR condition, not both): 1. Single Trial: Provide nct_id ONLY to analyze one specific trial's endpoints 2. Aggregate: Provide condition ONLY to analyze patterns across multiple trials If both provided, nct_id takes precedence (single trial mode). SINGLE TRIAL MODE (nct_id): - Returns all endpoints for the specified trial - Useful for understanding specific trial design - Example: nct_id='NCT03661411' AGGREGATE MODE (condition): - Analyzes endpoints across many trials in a therapeutic area - Identifies common endpoint patterns and measures - Useful for protocol design and competitive analysis - Example: condition='diabetes', phase=['PHASE3'] WHAT THIS RETURNS: - List of primary endpoints (main efficacy measures) - List of secondary endpoints (additional outcomes) - List of other endpoints (exploratory outcomes) - Most common measures across analyzed trials - Timeframes for each endpoint measurement EXAMPLES: - Single trial: nct_id='NCT03661411' - Phase 3 cancer endpoints: condition='cancer', phase=['PHASE3'] - Recent diabetes outcomes: condition='diabetes', start_date_after='2022-01-01'

Find clinical trials matching specific patient eligibility criteria. Use this for patient-trial matching and finding trials a specific patient might qualify for. DEFAULT STATUS: Only searches RECRUITING trials. To include completed, upcoming, or all trials, explicitly set the status parameter. WHEN TO USE: - Patient matching: 'Find trials for a 65-year-old female with diabetes' - Specific criteria: 'Trials requiring HbA1c > 8%' or 'BRCA positive trials' - Age-restricted searches: 'Pediatric cancer trials' or 'Trials for elderly patients' - Finding trials by inclusion/exclusion criteria USE search_trials FOR: - General disease/condition searches - When patient demographics don't matter ELIGIBILITY KEYWORDS TIPS: - Use medical abbreviations: 'ECOG', 'HbA1c', 'BMI', 'eGFR' - Search criteria text: 'prior chemotherapy', 'treatment naive' - Biomarkers: 'BRCA mutation', 'HER2 positive', 'PD-L1' - Lab values: 'creatinine', 'ALT', 'bilirubin' - ICD-10 codes indicate specific subtypes (E10.x=Type 1, E11.x=Type 2, etc.) - Disease subtypes matter: Type 1 vs Type 2 diabetes, HER2+ vs HER2- cancer, etc. EXAMPLES: - '65yo diabetic patient' -> condition='diabetes', min_age='18 Years', max_age='70 Years' - 'Breast cancer with BRCA' -> condition='breast cancer', eligibility_keywords='BRCA' - 'Recruiting trials for men with prostate cancer' -> condition='prostate cancer', sex='MALE'