nexonco-mcp
nexonco-mcp is an advanced MCP server designed for accessing and analyzing clinical evidence data. It provides fast and flexible search capabilities across the CIViC (Clinical Interpretation of Variants in Cancer) database, supporting precision medicine and oncology research. Implemented in Python, it allows users to filter search results based on various parameters such as diseases, therapies, and genetic variants. This tool is particularly useful for researchers in the field of cancer, enabling them to analyze relevant data efficiently.
GitHub Stars
51
User Rating
Not Rated
Forks
6
Issues
0
Views
0
Favorites
0
Demo
https://github.com/user-attachments/assets/02129685-5ba5-4b90-89e7-9d4a39986210
Setup
Prerequisites
- uv or Docker
- Claude Desktop (for MCP integration)
Setup Guides
For detailed setup instructions, refer to the following documentation:
NANDA Host Setup
Seedocs/nanda-server-setup.md
for backend configuration and local registration of the NANDA Server.Claude Desktop Setup
Seedocs/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): IfTrue
, only includes evidence with a rating > 3 (max 5).
Output
The tool returns a formatted string with four sections:
- Summary Statistics:
- Total evidence items
- Average evidence rating
- Top 3 diseases, genes, variants, therapies, and phenotypes (with counts)
- Top 10 Evidence Entries:
- Lists the highest-rated evidence items with details like disease, phenotype, gene/variant, therapy, description, type, direction, and rating.
- Sources & Citations:
- Citations and URLs for the sources of the top 10 evidence entries.
- 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
3
Followers
2
Repositories
0
Gists
19
Total Contributions