"CSS Modules" matching MCP servers:

Exposes four CMS public datasets as callable tools in Claude conversations, enabling natural-language real-world evidence analytics without SQL expertise.

Bridge any AI coding assistant directly to GenePattern — run bioinformatics modules, manage cloud jobs, and stream results, all through natural language.

An MCP server that exposes the KEGG REST API — pathways, genes, compounds, reactions, enzymes, diseases, drugs, modules, orthology, glycans, and BRITE hierarchies, with cross-database linking. Provides 34 tools and 8 resource templates.

Provides read-only access to CMS Medicare inpatient DRG data via typed MCP tools and a guarded SQL interface over a DuckDB warehouse.

Enables AI agents and compatible MCP clients to submit inpatient medical-record front-page codes and receive deterministic MDC/ADRG/DRG grouping for CHS-DRG 2.0 and 3.0, including severity, status, and trace. Also supports diagnostic/procedure code lookup, batch grouping, and rule-version queries.

Enables MCP clients to discover and invoke domain-specialized tools for humanitarian emergency response, public health, research synthesis, grant proposals, human rights monitoring, maternal health, and SOP synthesis. It supports JSON-RPC 2.0 over Streamable HTTP for structured, privacy-conscious field outputs and voice-friendly summaries.

Enables AI assistants to query FDA drug labels, FAERS adverse event reports, recalls, and ClinicalTrials.gov trials, and to compute pharmacovigilance signal metrics such as PRR/ROR with confidence intervals and flags. It also provides a drug safety brief prompt that combines these sources with source links and limitations.

A remote MCP server that lets an LLM explore, query, aggregate, and benchmark the ~234 datasets in the CMS Provider Data Catalog — hospitals, dialysis facilities, nursing homes, home health, hospice, physicians, and more — in plain language.

Enables AI assistants to perform genomic variant analysis using OakVar, including running annotation pipelines, managing 200+ annotator modules, querying variant databases, and generating reports in various formats.

Aggregates pediatric CKD patient data from multiple modules to generate unified timeline reports with structured sections, markdown summary, and overall status. Enables clinicians to obtain a comprehensive patient snapshot.