Demo

https://github.com/user-attachments/assets/02129685-5ba5-4b90-89e7-9d4a39986210

Watch full video here:

Setup

Prerequisites

• uv or Docker
• Claude Desktop (for MCP integration)

Setup Guides

For detailed setup instructions, refer to the following documentation:

• NANDA Host Setup
  See docs/nanda-server-setup.md for backend configuration and local registration of the NANDA Server.

• Claude Desktop Setup
  See docs/claude-desktop-setup.md for guidance on configuring the local development environment and MCP integration.

These guides include all required steps, environment configurations, and usage notes to get up and running.

Tool List

search_clinical_evidence: A MCP tool for querying clinical evidence data that returns formatted reports.

Input Schema

The tool accepts the following optional parameters:

• disease_name (str): Filter by disease (e.g., “Lung Non-small Cell Carcinoma”).
• therapy_name (str): Filter by therapy or drug (e.g., “Cetuximab”).
• molecular_profile_name (str): Filter by gene or variant (e.g., “EGFR L858R”).
• phenotype_name (str): Filter by phenotype (e.g., “Chest Pain”).
• evidence_type (str): Filter by evidence type (e.g., “PREDICTIVE”, “DIAGNOSTIC”).
• evidence_direction (str): Filter by evidence direction (e.g., “SUPPORTS”).
• filter_strong_evidence (bool): If True, only includes evidence with a rating > 3 (max 5).

Output

The tool returns a formatted string with four sections:

1. Summary Statistics:
   • Total evidence items
   • Average evidence rating
   • Top 3 diseases, genes, variants, therapies, and phenotypes (with counts)
2. Top 10 Evidence Entries:
   • Lists the highest-rated evidence items with details like disease, phenotype, gene/variant, therapy, description, type, direction, and rating.
3. Sources & Citations:
   • Citations and URLs for the sources of the top 10 evidence entries.
4. Disclaimer:
   • A note stating the tool is for research purposes only, not medical advice.

Sample Usage

• “Find predictive evidence for colorectal cancer therapies involving KRAS mutations.”
• “Are there studies on Imatinib for leukemia?”
• “What therapies are linked to pancreatic cancer evidence?”

Acknowledgements

• Model Context Protocol
• NANDA: The Internet of AI Agents
• CIViC - Clinical Interpretation of Variants in Cancer

License

This project is licensed under the MIT License - see the LICENSE file for details.

Disclaimer

⚠️ This tool is intended exclusively for research purposes. It is not a substitute for professional medical advice, diagnosis, or treatment.

Contributors

• Obada Qasem (@obadaqasem), Nexgene AI
• Kutsal Ozkurt (@Goodsea), Nexgene AI