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    Official MCP server for the Vocametrix voice analysis API. Gives AI assistants direct access to clinical voice metrics (AVQI, DSI, jitter/shimmer, CPP), pronunciation assessment, speech transcription, prosody similarity, and AI-powered therapy planning. More than 40 endpoints for SLPs, voice researchers, and healthtech developers.
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    An MCP server that connects AI assistants to OpenEMR instances to manage patient records, clinical trends, and medication safety. It provides 17 tools for tasks such as patient search, drug interaction checks, and generating comprehensive health trajectories and visit preparations.
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    Enables bioinformatics analysis through natural language conversations with Claude Desktop, automatically generating and executing Python scripts to produce HTML reports and visualizations.
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    Provides access to comprehensive public health data from Yale's Population Health Information Visual Explorer, including metrics on immunizations, respiratory diseases, and chronic conditions. It enables users to perform state-level comparisons, time-series analysis, and data filtering across authoritative sources like the CDC and Epic Cosmos.
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    Enables molecular generation, optimization, and analysis through NVIDIA MolMIM API. Supports generating drug-like molecules with desired properties, extracting molecular embeddings, and exploring chemical space around seed molecules.
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    MIT
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    Enables AI assistants to securely access Epic Healthcare Systems patient data through FHIR R4 API integration. Provides tools for searching patients, retrieving clinical summaries, vital signs, medications, and generating healthcare reports with HIPAA-compliant OAuth 2.0 authentication.
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    Enables RNA structure analysis, sequence evaluation, and inverse design using geometric deep learning models. Supports both quick computational analysis and long-running batch processing for generating RNA sequences that fold into target structures.
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    Enables LLMs to interact with OpenEHR electronic health record systems by retrieving clinical archetypes, generating AQL queries from natural language, and executing queries against on-premise EHR databases. Supports OpenEHR Clinical Knowledge Manager integration and custom IIS-hosted EHR APIs for comprehensive medical data access.
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    Enables comprehensive healthcare data analysis using Tuva Health demo data with tools for value-based care analytics, quality measures, utilization analysis, and financial metrics. Supports patient demographics, PMPM analysis, chronic conditions tracking, readmissions analysis, and HCC risk scoring through BigQuery integration.
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    A local-first, family-scale medical record framework that provides a Python CLI engine and MCP server for ingesting, deduplicating, querying, and generating medical records from source documents.
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