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    An MCP server that enables AI coding assistants to interact with Rosetta, PyRosetta, and Biotite for running RosettaScripts, validating XML, translating between Rosetta and Biotite, scoring structures, and querying documentation.
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    MIT
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    Russian drug reference for AI agents: check ГРЛС registration, get a drug card, look up ЖНВЛП price caps, check recalls, and link the official instruction straight from the state registers.
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    MIT
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    Three composable MCP servers for clinical AI — FHIR R4 read/search/validate, medical terminology (LOINC/SNOMED/RxNorm/ICD-10), and drug safety reasoning (interactions, dose check, allergy). Apache-2.0, production-ready.
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    A TypeScript MCP server for interacting with CDISC Define-XML 2.0 and 2.1 files, enabling users to load, search, and retrieve clinical data metadata including datasets, variables, and codelists. It supports local file processing with document caching and provides responses in both JSON and Markdown formats.
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    Built by a healthcare IT engineer with 19 years of PACS/RIS/integration experience. Bridges DICOM, HL7v2, and FHIR — maps between standards, decodes vendor private tags (GE, Siemens, Philips), generates Mirth Connect channels, and explains integration patterns. 12 tools covering tag lookup, message parsing, cross-standard mapping, and channel generation.
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    4
    MIT
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    Open-source guardrails between AI agents and FHIR clinical data — PHI redaction, immutable audit, step-up auth, tenant isolation. MCP server + OpenAI/Gemini adapters. A healthclaw.io project.
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    MIT
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    Provides access to FishBase marine biology data including species information, ecological data, distribution records, and morphological details. Enables species name validation and conversion between common and scientific names through natural language queries.
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    Enables AI-powered clinical decision support by integrating with athenahealth's API to access patient data, manage prescriptions, check drug interactions, and generate clinical assessments. Provides HIPAA-compliant healthcare workflows with comprehensive audit logging and data sanitization.
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    Enables AI assistants to perform quality control analysis on high-throughput sequencing data using FastQC and MultiQC. It supports single-file and batch processing of FASTQ/FASTA files and generates comprehensive, interactive summary reports.
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    MIT
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    Enables AI assistants to look up, search, validate, navigate hierarchies, and expand value sets for SNOMED CT clinical terminology through the Model Context Protocol.
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    Apache 2.0
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    MCP server for interacting with Galaxy bioinformatics platform, enabling AI assistants to connect to Galaxy instances, search and execute tools, manage workflows, and access other features.
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    36
    MIT