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MCP Usage Examples ​

This guide provides comprehensive examples for querying Gosset's drug database through MCP connectors.

Basic Queries ​

Target-Based Searches ​

Search for drugs by their molecular targets:

Show me all drugs targeting EGFR
Find all PD-1 inhibitors in the database
What drugs target BRAF mutations?

Indication-Based Searches ​

Query drugs by therapeutic indication:

Show me all oncology drugs in the database
Find drugs for rheumatoid arthritis
What are the treatments for type 2 diabetes?

Development Phase Searches ​

Filter by clinical development stage:

Show me all Phase 3 oncology drugs
What drugs are currently in Phase 2 trials?
Find all FDA-approved drugs from the last 2 years

Advanced Queries ​

Multi-Criteria Searches ​

Combine multiple search criteria for precise results:

Show me Phase 3 EGFR inhibitors for non-small cell lung cancer
Find all PD-1/PD-L1 inhibitors in Phase 2 or Phase 3 trials
What are the latest biosimilars in development targeting TNF-alpha?

Competitive Analysis ​

Compare drugs in the same therapeutic space:

Compare all PD-1 inhibitors vs PD-L1 inhibitors including their development status
Show me the competitive landscape for diabetes treatments in Phase 3
What are the key differentiators between EGFR inhibitors in development?

Therapeutic Area Queries ​

Oncology ​

Show me all solid tumor treatments in clinical trials
Find drugs with breakthrough therapy designation for cancer
What are the latest antibody-drug conjugates in development?

Immunology ​

Show me all drugs targeting autoimmune diseases
Find IL-17 inhibitors and their clinical trial results
What immunology drugs have been approved in the last year?

Neurology ​

Show me all treatments for Alzheimer's disease
Find drugs targeting neurological disorders in early-stage development
What are the latest Parkinson's disease therapies?

Rare Diseases ​

Show me all orphan drug designations in the database
Find treatments for rare genetic disorders
What rare disease drugs have accelerated approval pathways?

Mechanism of Action Queries ​

Drug Class Searches ​

Show me all monoclonal antibodies in development
Find all small molecule kinase inhibitors
What bispecific antibodies are in clinical trials?

Technology Platform Searches ​

Show me all mRNA-based therapeutics
Find drugs using CRISPR or gene editing technology
What are the latest cell therapies in development?

Regulatory and Market Intelligence ​

Regulatory Status ​

Show me all drugs with FDA breakthrough therapy designation
Find drugs that received accelerated approval in the last year
What drugs are currently under FDA priority review?

Market Analysis ​

Show me all biosimilars and their reference products
Find drugs losing patent protection in the next 2 years

Progressive Querying Strategies ​

Start with broad queries and progressively narrow down:

Step 1: Initial broad search

Show me all oncology drugs in the database

Step 2: Narrow by phase

Focus on Phase 3 oncology drugs

Step 3: Add specific criteria

Which of these target solid tumors and have breakthrough designation?

Step 4: Deep dive

Show me detailed clinical trial data for the top 3 candidates

Data Organization Requests ​

By Development Phase ​

Show me all diabetes drugs organized by clinical trial phase

By Indication ​

List all drugs targeting EGFR, organized by specific cancer indication

By Timeline ​

List drugs by expected approval date for the next 12 months

Complex Analysis Queries ​

Comprehensive Market Mapping ​

Analyze the complete competitive landscape for diabetes treatments, 
including all drugs in development, their mechanisms, trial phases, 
regulatory status, and key differentiators
Show me the trend in mRNA therapeutics over the past 3 years,
including all indications being targeted and development stages

Best Practices for Effective Queries ​

1. Start Specific, Then Broaden ​

Begin with precise criteria and expand if needed:

  • ✅ "Phase 3 EGFR inhibitors" → "All EGFR inhibitors"
  • ❌ Starting too broad may return overwhelming results

2. Use Clear, Natural Language ​

Write queries as you would ask a colleague:

  • ✅ "What drugs target PD-1 and are in late-stage trials?"
  • ✅ "What are the latest antibody-drug conjugates in development?"

3. Leverage Follow-Up Questions ​

Build on previous answers:

  • First: "Show me all BTK inhibitors"
  • Then: "Which of these have FDA approval?"
  • Finally: "Compare their mechanism differences"

4. Request Organized Output ​

Ask for structured results:

  • "Organize by development phase"
  • "Group by indication"
  • "Sort by mechanism of action"
  • "List chronologically by approval date"

5. Combine Multiple Dimensions ​

Mix different criteria types:

  • Target + Indication + Phase
  • Drug Class + Therapeutic Area + Status
  • Mechanism + Regulatory Status + Timeline

Query Optimization Tips ​

Strategy 1: Use Specific Filters ​

Show me Phase 3 EGFR inhibitors for non-small cell lung cancer

More specific queries help you get the most relevant results.

Strategy 2: Sequential Queries ​

Show me Phase 3 EGFR inhibitors

Then:

Show me Phase 2 EGFR inhibitors

Break complex queries into focused, sequential questions.

Strategy 3: Focus by Category ​

Show me the most advanced oncology drugs by phase

Organize queries by categories to explore different aspects systematically.

Common Query Patterns ​

"Show me..." Pattern ​

  • "Show me all drugs targeting [TARGET]"
  • "Show me all drugs for [INDICATION] in [PHASE]"

"Find..." Pattern ​

  • "Find all [DRUG_CLASS] in [PHASE] trials"
  • "Find drugs with [REGULATORY_STATUS]"

"What are..." Pattern ​

  • "What are the latest [INDICATION] treatments?"
  • "What are the key competitors in [THERAPEUTIC_AREA]?"

"Compare..." Pattern ​

  • "Compare [DRUG_A] vs [DRUG_B]"
  • "Compare all [DRUG_CLASS] by mechanism and efficacy"

"Analyze..." Pattern ​

  • "Analyze the competitive landscape for [INDICATION]"
  • "Analyze trends in [THERAPEUTIC_AREA]"

Troubleshooting Query Issues ​

If you get too few results: ​

  • Broaden your search criteria
  • Remove specific filters
  • Try different terminology (e.g., "cancer" vs "oncology")

If you get too many results: ​

  • Add more specific filters
  • Focus on a particular phase or indication
  • Request top N results by relevance

If results seem irrelevant: ​

  • Rephrase your query with more specific terms
  • Use standard medical/scientific terminology
  • Break complex queries into simpler parts

Support Resources ​

For more information:

Gosset Documentation

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