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NexonCo MCP

MCP Server

Advanced Clinical Evidence Analysis Platform

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Updated Aug 12, 2025

About

A server that provides flexible search, AI‑powered analysis, and oncology research tools for accessing and interpreting clinical evidence data.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

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Nexonco is a Model Context Protocol (MCP) server built by Nexgene Research to bridge AI assistants with the CIViC (Clinical Interpretation of Variants in Cancer) database. By exposing a single, well‑structured tool——the server lets developers query a vast, curated repository of cancer variant evidence without having to write custom API clients or handle complex authentication. This streamlines the integration of precision oncology data into conversational agents, clinical decision support tools, and research workflows.

The core value lies in the server’s ability to translate natural language queries into precise, multi‑dimensional filters. Developers can specify disease names, therapies, molecular profiles, phenotypes, and evidence attributes such as type or direction. The tool then returns a concise, human‑readable report that includes summary statistics, the top ten evidence entries, source citations, and a disclaimer. This format is ideal for AI assistants that need to present actionable insights while maintaining transparency about data provenance and limitations.

Key capabilities include:

  • Flexible filtering across five dimensions (disease, therapy, gene/variant, phenotype, evidence attributes).
  • Strong‑evidence gating to limit results to high‑confidence entries (rating > 3).
  • Comprehensive reporting that aggregates counts, averages, and highlights top items for quick interpretation.
  • Built‑in citations linking each evidence item to its source, ensuring traceability and compliance with research standards.

Real‑world scenarios where Nexonco shines include:

  • A clinical chatbot that advises oncologists on targeted therapies based on a patient’s mutation profile.
  • An AI‑driven literature review assistant that surfaces the latest predictive evidence for emerging drug–variant combinations.
  • A research platform that automatically generates evidence tables for grant proposals or systematic reviews.

Integration is straightforward: once registered with a NANDA host, the server exposes its tool over MCP, allowing any Claude Desktop or other MCP‑compliant client to invoke with JSON parameters. The server handles data retrieval, filtering, and formatting behind the scenes, freeing developers to focus on higher‑level logic or user experience.

Nexonco’s standout advantage is its tight coupling with CIViC, a community‑driven, peer‑reviewed database that is the gold standard for cancer variant interpretation. By providing a ready‑made, AI‑friendly interface to this resource, the server eliminates repetitive API plumbing and empowers developers to embed cutting‑edge precision oncology insights into their applications with minimal effort.