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    An MCP server that grounds protein research in the UniProt SPARQL endpoint, providing tools for querying proteins, sequences, variants, diseases, and more via intent-named tools and raw SPARQL.
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    MIT
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    Grounds gene-nomenclature work in the HUGO Gene Nomenclature Committee (HGNC) dataset, enabling resolution of gene symbols and IDs to canonical HGNC identifiers, plus cross-references and batch operations.
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    9
    MIT
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    An MCP server that enables querying rare-disease data from Orphanet, including disease nomenclature, cross-references, classifications, gene associations, HPO phenotypes, epidemiology, and natural history.
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    19
    MIT
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    Enables querying of per-residue missense tolerance, Pfam domain annotations, and variant counts for human transcripts by wrapping the MetaDome web service. Provides MCP tools for resolving transcripts, requesting tolerance landscapes, and identifying constrained regions.
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    11
    MIT
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    An MCP server that provides mouse genetics data from Mouse Genome Informatics (MGI), enabling LLM agents to query markers, mutations, alleles, phenotypes, and disease models.
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    MCP server that provides tools for querying the Human Phenotype Ontology (HPO) including term lookup, hierarchy exploration, cross-ontology mappings, and gene-phenotype-disease associations, all grounded in a local SQLite database for fast offline lookups.
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    17
    MIT
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    Enables AI to directly control SEGGER J-Link embedded debug probes via the Model Context Protocol for debugging and firmware management. Users can perform tasks like reading registers, analyzing memory, flashing firmware, and tracking RTT logs using natural language commands.
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    Enables AI assistants to interact with STM32 development boards via J-Link debugger using RTT communication, supporting connection, logging, memory operations, and firmware flashing through natural language.
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    12
    MIT
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    Enables AI assistants to debug embedded devices via SEGGER J-Link probes, including reading memory, flashing firmware, streaming RTT logs, and diagnosing crashes.
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    MIT
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    Enables a local LLM to ask the user for guidance via a native desktop pop-up dialog, with configurable options and multiple-choice or free-text input.
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    Fetch URLs and return clean, LLM-ready markdown with metadata and layered prompt injection defense. Configurable timeouts, word limits, JS rendering, and link extraction. All-in-one MCP server + CLI.
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    MIT