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    Enables AI-assisted molecular biology experiment design with tools for qPCR primer design, cloning strategy optimization, TaqMan probe design, and multiplex compatibility analysis.
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    MIT
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    Enables LLM agents to search biomedical literature, retrieve article details, find related papers, manage caching, and download open-access full texts through MCP with structured, agent-friendly responses.
    5
    Apache 2.0
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    A bridge connecting AI agents to NCBI's PubMed database through the Model Context Protocol, enabling seamless searching, retrieval, and analysis of biomedical literature and data.
    12
    3,435 npm
    166
    Apache 2.0
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    Enables MCP clients to discover and call typed tools for protein backbone design, sequence design, complex folding, and binder design via BioNeMo NIMs, with a deterministic simulator by default and optional live routing.
    5
    Apache 2.0
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    Enables interaction with MGnify metagenomics resources and tools through the Model Context Protocol. Provides access to MGnify's API for querying and analyzing metagenomic datasets and related biological information.
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    Enables AI assistants to search and retrieve prokaryotic names, taxon details, full classifications, and rank-based browsing from the List of Prokaryotic names with Standing in Nomenclature in real time, plus read related information pages.
    7
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    MIT
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    A Model Context Protocol server that enhances language models with protein structure analysis capabilities, enabling detailed active site analysis and disease-related protein searches through established protein databases.
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    ISC
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    Exposes pipen bioinformatics pipelines as MCP tools, allowing AI assistants to discover and run complex workflows through a progressive disclosure interface.
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    MIT
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    Enables read-only and preview MCP workflows for GenBank sequence management, primer design, and visualization, with optional write access for importing new records and saving design results.
    MIT
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    Federates 13 gene-related MCP backends (gnomAD, GTEx, etc.) behind a single Streamable HTTP endpoint with collision-free namespacing and search-based tool discovery.
    6
    MIT
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    πŸ” A biomedical literature annotation and relationship mining server based on PubTator3, providing convenient access through the MCP interface.
    10
    MIT
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    Exposes over 100 deterministic medical research engines to any MCP-capable agent, covering statistical tests, survival analysis, bioinformatics pipelines, primer/sequence design, modeling, and PubMed literature search. Every response is computed with real algorithms and tagged with an engine_status of real, unavailable, or error, so agents never receive fabricated numbers.
    MIT
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    Enables AI assistants to query VirtualFlyBrain data, run queries, and search for terms related to Drosophila neurobiology.
    MIT
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    MCP server for biological protein design, folding, and affinity prediction using Refua tools, with optional support for ADMET, clinical simulation, preclinical planning, wet-lab automation, and more.
    MIT
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    Enables protein modeling and design using the Rosetta suite via Docker, including structure refinement, mutation stability analysis, docking, and loop modeling through natural language commands.
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    Enables language models to search biomedical literature, fetch sequences, and follow links across Entrez databases through eleven read-only tools wrapping the nine NCBI Entrez E-utilities. It handles URL building, pacing, redirects, response caps, and API-key redaction so queries can be answered without a browser or scraping.
    11
    MIT
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    Enables MCP clients to annotate and classify single human genetic variants in any notation, returning an auditable points-based ACMG verdict with its criteria, gnomAD frequencies, in-silico predictors, ClinVar data, and per-transcript consequences. It is read-only, requires no account or API key, and keeps answers compact while linking back to the source.
    6
    MIT
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    Enables AI assistants to rapidly gather and synthesize structural, chemical, conservation, and literature data about protein binding pockets for drug-target triage. Useful as a reconnaissance step before computational binder design.
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    MIT
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    Enables LLM-powered applications to look up bacterial and archaeal taxonomy, search genomes, browse and navigate the taxonomic tree, and compare genomes or find phylogenetic paths between taxa. It works out of the box with a built-in reference dataset covering major phyla and can be pointed at full Genome Taxonomy Database TSV files for comprehensive queries.
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    MIT