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Nexonco Mcp

Nexonco Mcp

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github.com/Nexgene-ResearchData & Analytics64Updated 63w ago
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About Nexonco Mcp

Nexonco is an MCP server that provides access to clinical evidence from the CIViC database. It is aimed at precision oncology and research use, with flexible search across variants, diseases, drugs and phenotypes.

Key features

  1. 01Search evidence by variant, disease, drug or phenotype
  2. 02Filter by evidence type, direction and rating
  3. 03Summary statistics and top ten evidence entries
  4. 04Source citations and research-only disclaimer

Use cases

  1. 01Find predictive evidence for colorectal cancer therapies with KRAS mutations
  2. 02Review studies on a specific drug in leukemia
  3. 03Survey therapies linked to pancreatic cancer evidence

MCP support

Nexonco exposes a search_clinical_evidence tool over MCP, which MCP clients can call to receive a formatted evidence report.

#ai#mcp#health

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

nexonco-mcp-banner

Nexonco by Nexgene Research is an MCP server for accessing clinical evidence from the CIViC (Clinical Interpretation of Variants in Cancer) database. It enables fast, flexible search across variants, diseases, drugs, and phenotypes to support precision oncology.

PyPI NANDA License

Demo

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

Watch full video here: Youtube

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

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

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