Nexonco
Provides containerization support for deploying the Nexonco MCP server as an alternative to local installation
Provides source code access and licensing information for the Nexonco MCP server
Makes the Nexonco MCP package available through PyPI for easy installation and management
Hosts demonstration videos showing the capabilities and usage of the Nexonco MCP server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Nexoncofind evidence for EGFR mutations in lung cancer"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Demo
https://github.com/user-attachments/assets/02129685-5ba5-4b90-89e7-9d4a39986210
Watch full video here:
Related MCP server: atlas_mcp
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.mdfor backend configuration and local registration of the NANDA Server.Claude Desktop Setup
Seedocs/claude-desktop-setup.mdfor 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
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
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Maintenance
Resources
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