An advanced MCP Server for accessing and analyzing clinical evidence data, with flexible search options to support precision medicine and oncology research.
{
"mcpServers": {
"nexonco-mcp": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
MIT. View license →
Is it maintained?
Last commit 239 days ago. 60 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
Context cost
1 tool. ~300 tokens (0.1% of 200K).
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
search_clinical_evidenceA MCP tool for querying clinical evidence data from the CIViC database that returns formatted reports with summary statistics, top evidence entries, sources, and citations.
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https://github.com/user-attachments/assets/02129685-5ba5-4b90-89e7-9d4a39986210
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.
search_clinical_evidence: A MCP tool for querying clinical evidence data that returns formatted reports.
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).The tool returns a formatted string with four sections:
This project is licensed under the MIT License - see the LICENSE file for d