clinicaltrialsgov-mcp-server/dist/mcp-server/prompts/definitions/analyze-trial-landscape.prompt.js

Search ClinicalTrials.gov trials, retrieve study details and results, and match patients to eligible trials via MCP. STDIO or Streamable HTTP.

/**
 * @fileoverview Prompt guiding systematic clinical trial landscape analysis.
 * @module mcp-server/prompts/definitions/analyze-trial-landscape.prompt
 */
import { prompt, z } from '@cyanheads/mcp-ts-core';
export const analyzeTrialLandscape = prompt('analyze_trial_landscape', {
    description: 'Guides analysis of a clinical trial landscape using the ClinicalTrials.gov MCP tools. Adaptable workflow for breakdowns by status, phase, sponsor, geography, etc.',
    args: z.object({
        topic: z.string().describe('Disease, condition, or research area to analyze.'),
        focusAreas: z
            .string()
            .optional()
            .describe('Comma-separated aspects to focus on, e.g.: "status, phases, sponsors, geography, timeline, interventions".'),
    }),
    generate: (args) => {
        const areas = args.focusAreas
            ?.split(',')
            .map((s) => s.trim())
            .filter(Boolean) ?? [];
        const focus = areas.length
            ? `Focus the analysis on: **${areas.join(', ')}**.`
            : 'Cover whatever dimensions seem most informative — status distribution, phase breakdown, top sponsors, recent activity, geographic spread, or intervention types.';
        return [
            {
                role: 'user',
                content: {
                    type: 'text',
                    text: `Analyze the clinical trial landscape for: **${args.topic}**

Use the ClinicalTrials.gov MCP tools to build a data-driven analysis. Most useful for landscape work:

- **clinicaltrials_get_study_count** — fast counts for a query with optional filters (status, phase, etc.). Use this to build breakdowns and comparisons.
- **clinicaltrials_search_studies** — full study search with field selection, sorting, and pagination. Use to sample key studies, identify sponsors, or examine recent activity.
- **clinicaltrials_get_field_values** — discover valid filter values and their frequency. Useful when you need to know what values exist for a field.
- **clinicaltrials_get_field_definitions** — discover available field names by keyword or path. Use when you need a field name for filtering or sorting that you don't already know.
- **clinicaltrials_get_study_results** — fetch outcomes, adverse events, participant flow, and baseline for completed studies. Use when the analysis benefits from outcome trends across completed trials.

${focus}

Present findings as tables where the data supports it. Cite specific NCT IDs for notable studies. Note trends, gaps, or patterns worth highlighting.`,
                },
            },
        ];
    },
});
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