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.
DROMA MCP Server
@mugpeng
Basic information
About DROMA MCP Server
A Model Context Protocol (MCP) server for DROMA (Drug Response Omics association MAp) - enabling natural language interactions with drug-omics association analysis.
DROMA MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryDROMA MCP Server tools
Tool list not available yet
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
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
Frequently asked questions
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`.
What transport protocols are supported?
The server supports STDIO, streamable-http, and SSE transports, configurable via the `--transport` flag.
Which datasets are available?
Datasets such as CCLE and gCSI are supported. You load them into memory with the `load_dataset` tool.
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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