eta","17",{"name":"twitter:image","content":"https://mcp.so/logo.png"}]],"error":null,"digest":"$undefined"} e:{"metadata":"$14:metadata","error":null,"digest":"$undefined"} 28:I[60719,["7626","static/chunks/f6ab4fea-4425dae3da7674a3.js","8548","static/chunks/b27dc69b-e5acb70cd9d66ddf.js","5232","static/chunks/5232-db5923cda78a4960.js","6465","static/chunks/6465-6b79f1dc957ae3f4.js","9388","static/chunks/9388-d1a745fd53a10850.js","4902","static/chunks/4902-40271c136eb736f1.js","1508","static/chunks/1508-abbc58115cbb4fd0.js","6125","static/chunks/6125-6f7cbc86df4f2503.js","7771","static/chunks/7771-66979ce602088329.js","7660","static/chunks/7660-f5d56ac6a9ee6cc8.js","4147","static/chunks/4147-ef3df161a800b88b.js","9783","static/chunks/9783-e1d5b54e9718b38b.js","8084","static/chunks/8084-f1229cc5d0501fe0.js","2024","static/chunks/2024-e03e13f5faa34f45.js","7796","static/chunks/app/%5Blocale%5D/(default)/server/%5Bname%5D/%5Bauthor_name%5D/page-c3a3facf548ee943.js"],"default"] 29:T10e1,![nexonco-mcp-banner](https://github.com/user-attachments/assets/c2ec59e8-ff8c-40e1-b66d-17998fe67ecf)

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](https://img.shields.io/badge/PyPI-nexonco--mcp-000000.svg?style=for-the-badge&logo=pypi&labelColor=000)](https://pypi.org/project/nexonco-mcp) [![NANDA](https://img.shields.io/badge/NANDA-Nexonco-000000.svg?style=for-the-badge&logo=&labelColor=000)](https://ui.nanda-registry.com/servers/c6284608-6bce-4417-a170-da6c1a117616) [![License](https://img.shields.io/badge/License-MIT-000000.svg?style=for-the-badge&logo=github&labelColor=000)](https://github.com/Nexgene-Research/nexonco-mcp/blob/main/LICENSE)

## Demo https://github.com/user-attachments/assets/02129685-5ba5-4b90-89e7-9d4a39986210 Watch full video here: [![Youtube](https://img.shields.io/badge/YouTube-red)](https://youtu.be/1Mq8Hcb9V7o?si=jCbhqNabupaRiQWq) ## Setup ### Prerequisites - [uv](https://github.com/astral-sh/uv#installation) 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, p

Nexonco Mcp

コメント