medical-research-toolkit

What This Skill Does

The medical-research-toolkit provides a robust, centralized interface for querying over 14 major biomedical databases, streamlining complex research workflows. By leveraging a unified MCP (Model Context Protocol) endpoint, this skill enables seamless integration with powerhouses like ChEMBL, PubMed, ClinicalTrials.gov, OpenTargets, OpenFDA, and UniProt. It acts as a scientific research assistant capable of performing target discovery, drug repurposing analysis, and retrieving high-fidelity literature. Whether you are identifying genetic markers for a rare disease, vetting drug candidates for clinical pipeline development, or cross-referencing adverse event reports with regulatory data, this tool provides the data granularity needed for professional-grade research.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/pascalwhoop/medical-research-toolkit

Ensure your local environment is configured to support the MCP protocol to communicate effectively with the remote endpoint.

Use Cases

• Target Discovery: Systematically identify high-confidence therapeutic targets by analyzing evidence scores from OpenTargets.
• Drug Repurposing: Quickly screen approved and investigational compounds against specific disease indications using ChEMBL data.
• Clinical Pipeline Analysis: Audit ongoing clinical trials by recruitment status, study phase, and location to inform market analysis.
• Literature Synthesis: Perform complex keyword-based article searches across PubMed to stay current with immunotherapy or drug-resistance trends.
• Compound Bioactivity Research: Query structural and functional data for small molecules to evaluate candidate viability.

Example Prompts

1. "Analyze top therapeutic targets for glioblastoma based on current genetic evidence and return their associated confidence scores."
2. "Find all currently recruiting clinical trials for Type 2 Diabetes that are in Phase 3 and explore any relevant PubMed articles from the last six months."
3. "List potential drug repurposing candidates for multiple sclerosis by cross-referencing ChEMBL bioactivity data with FDA-approved compounds."

Tips & Limitations

• Rate Limiting: Because this tool hits multiple high-traffic databases (e.g., PubMed, OpenFDA), be aware of external rate limits during massive data pulls.
• Data Integrity: Always verify clinical trial statuses through the direct ClinicalTrials.gov links provided, as data synchronization delays may occur.
• Query Specificity: Use precise disease ontology IDs (like EFO codes) when searching for targets to ensure results are not confounded by homonyms or ambiguous clinical terms.