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"author:ZengZichao" matching MCP servers:

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    Enables AI assistants to query the eggNOG 7 database in natural language for protein lookups, orthologous groups, pairwise orthologs, protein families, taxonomy, and database statistics. Also delivers structured functional annotations such as KEGG KO and GO terms with confidence scores, plus an index of bulk-downloadable data files.
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    MIT
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    Enables AI assistants to submit genomic sequences or NCBI accessions to antiSMASH for secondary metabolite biosynthetic gene cluster analysis, check job status, retrieve and download results, and query server status across bacteria, fungi, and plant servers.
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    MIT
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    Enables AI assistants and applications to search, query, and explore National Microbiology Data Center microbiology data—including genomes, metagenomes, viruses, pathogens, fungi, and microbial catalogs—through a standardized MCP interface.
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    MIT
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    Enables AI assistants to automate iTOL phylogenetic tree visualization workflows, including tree inspection, taxonomy and monophyly analysis, annotation template generation, batch uploads, and export through 33 tools, 3 resources, and 2 prompts.
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    MIT
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    Provides AI assistants with access to microbial type strain genome data, including species information, 16S rDNA sequences, functional annotations, statistics, and citation/usage guidance.
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    MIT
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    Enables AI assistants to search, browse categories, view detailed metadata, and download scientific illustrations from SciDraw.io through natural-language conversation.
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    MIT
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    Enables LLMs to search, retrieve, and analyze Global Catalogue of Metagenomics data—including BioProjects, BioSamples, Runs, MAGs, biome catalogues, taxonomy abundance, functional annotations, and platform statistics—through natural-language MCP tools.
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    MIT