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MCP tools

MCP Connectors

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    Enables AI-driven pharmacogenomic analysis by querying structured genetic variant, drug response, and disease risk data. Supports natural language questions about medications, traits, and health risks based on user genome data, with privacy-first local execution.
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    MIT
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    An MCP server that interfaces with Gigwa for genotyping data import, analysis, and audit, enabling users to perform complex workflows through natural language commands.
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    Apache 2.0
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    MCP server that interfaces with the NCBI Entrez API to fetch detailed information about genes and proteins, enabling gene searches, gene/protein metadata retrieval, and symbol searching with organism filtering.
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    Provides seamless access to the Protein Data Bank in Europe (PDBe) API and search capabilities, enabling AI clients to query protein structures, perform advanced searches, and retrieve structural biology data.
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    Apache 2.0
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    Provides AI agents with instant access to 10M+ OMOP medical vocabulary concepts for searching, mapping, and navigating clinical codes across SNOMED, ICD-10, RxNorm, LOINC, and more.
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    MIT
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    Enables interaction with the CEDAR metadata repository, including fetching templates, searching BioPortal ontology terms, and managing template instances.
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    MIT
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    Enables AI assistants and local LLMs to interact with BirdNET-Go bioacoustic observatories, providing tools to query recent and historical bird detections, monitor station health, and retrieve audio clips.
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    MCP server for VetSorcery — query problem lists, SOAP notes, and patient summaries from Claude Desktop, Cursor, Windsurf, or any MCP-compatible agent.
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    MIT
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    SuperGlookoQuery is a Claude Desktop extension (MCPB) that connects to Glooko diabetes device data and exposes it as clinical analysis tools (time in range, GMI, trends, enriched bolus/basal analysis, charting), for any pump/CGM combination Glooko supports rather than one fixed device. It's a fork of Richard Hall's podquery-mcp, reworked to discover each account's own data shape rather than assumi
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    MIT
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    Enables AI assistants to upload clinical documents and medical device images for health data extraction, normalization, and retrieval of structured coded results in formats such as JSON, FHIR, HL7, CSV, and Parquet.
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    MIT
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    Provides live US healthcare cost data including procedure cost estimates, provider pricing, insurance coverage rules, and medical bill analysis using real hospital transparency and CMS data.
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    Enables verification of Indian doctors by querying the National Medical Commission's Indian Medical Register for registration, profiles, and blacklist status, with fallback guidance for manual lookup.
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    MIT