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DROMA MCP Server

@mugpeng

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基本情報

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ライセンス

MPL-2.0 license

トランスポート

stdio

作者

mugpeng

DROMA MCP Server について

A Model Context Protocol (MCP) server for DROMA (Drug Response Omics association MAp) - enabling natural language interactions with drug-omics association analysis.

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DROMA MCP Server の設定

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このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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DROMA MCP Server のツール

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この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is DROMA MCP Server?

DROMA MCP Server is a Model Context Protocol server for DROMA (Drug Response Omics association MAp) that enables natural language interactions with drug-omics association analysis. It bridges AI assistants and cancer pharmacogenomics analysis by providing a natural language interface to the DROMA.R and DROMA.Set packages.

How to use DROMA MCP Server?

Install via pip install droma-mcp. Requires Python 3.10+, R 4.0+ with DROMA R packages, and a DROMA SQLite database. Start the server with droma-mcp run --db-path path/to/droma.sqlite. Use CLI commands like validate, test, benchmark, and export-config to configure and verify the environment.

Key features of DROMA MCP Server

  • Natural language interface for drug-omics association queries
  • Dataset management (CCLE, gCSI, etc.) in memory
  • Data loading with automatic z-score normalization
  • Multi-project support for cross-study analysis
  • Smart caching with metadata tracking and LRU eviction
  • Multi-modal transport (STDIO, HTTP, SSE)
  • R integration via rpy2 for seamless package use
  • Performance optimizations (async, connection pooling, memory management)

Use cases of DROMA MCP Server

  • Load and normalize molecular profiles (mRNA, CNV, methylation) from DROMA datasets
  • Query drug response data and explore database annotations
  • Perform multi-project analyses on overlapping samples
  • Export analysis results to CSV, Excel, or JSON formats
  • Power AI assistants to answer questions about cancer pharmacogenomics

よくある質問

1

What are the runtime dependencies?

Python 3.10+, R 4.0+ with DROMA.Set and DROMA.R packages, and a DROMA SQLite database are required.

2

How do I start the server?

Use `droma-mcp run --db-path <path>` in STDIO mode (default). For HTTP mode, add `--transport streamable-http --port 8000`.

3

What transport protocols are supported?

The server supports STDIO, streamable-http, and SSE transports, configurable via the `--transport` flag.

4

Which datasets are available?

Datasets such as CCLE and gCSI are supported. You load them into memory with the `load_dataset` tool.

5

Is R actually needed for the server to work?

Yes. The server integrates with DROMA R packages via rpy2 for data loading and analysis; R must be installed and the packages accessible.

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