Nexonco MCP Server

Clinical evidence from the CIViC database provides variant, drug, and disease insights.

Data last scanned today · Reviewed today

291 tool64PythonMIT

Overview

Nexonco MCP Server allows AI assistants to query the Clinical Interpretation of Variants in Cancer (CIViC) database. It provides a specialized tool, search_clinical_evidence, that retrieves structured clinical data based on various parameters like disease name, drug therapy, molecular profile, and evidence type. The server outputs detailed summary statistics and evidence reports to support precision oncology workflows. Users can filter results for high-confidence data by toggling the evidence rating threshold, facilitating efficient research and clinical evidence discovery.

Our verdict

This server carries a high risk level with a security score of 29/100. The primary concerns include the lack of OAuth support for authentication and the absence of a read-only mode, meaning every installation grants full write access by default. Given the project has not been editorially reviewed and the last commit occurred nearly a year ago, it is best suited for experimental use in isolated environments rather than sensitive or production-critical clinical workflows.

  • Uses zero direct dependencies, minimizing supply-chain surface area.
  • Licensed under the permissive MIT open-source license.
  • Provides specific documentation for integration and setup.
  • Risk of full write access due to missing read-only mode.
  • Lacks OAuth support for secure authentication handling.
  • Inactive repository with no commits in 354 days.
  • Community-maintained project without official vendor oversight.

Tools

ToolDescriptionRisk
search_clinical_evidenceA MCP tool for querying clinical evidence data that returns formatted reports.low

Compatibility

ClientLocalDockerRemoteRead-only
Claude Desktop
Cursor
VS Code
Windsurf
ChatGPT

Frequently asked questions

What are the prerequisite tools for running this server?

You need either uv or Docker for installation and Claude Desktop to integrate the server for use.

Does the server provide a way to filter for high-confidence evidence?

Yes, you can set the filter_strong_evidence parameter to True to restrict results to evidence with a rating greater than 3 out of 5.

Can I filter results by specific oncology criteria?

The search_clinical_evidence tool allows you to filter by disease name, therapy name, molecular profile, phenotype, evidence type, and evidence direction.

Is this tool suitable for clinical diagnostic use?

No, the server is intended exclusively for research purposes and is not a substitute for professional medical advice, diagnosis, or treatment.

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