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"IRIS" matching MCP servers:

  • A
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    quality
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    This MCP server enables AI agents to read MQTT and Sparkplug B data via tools like list_topics, get_latest, and read_all, providing read-only access to latest sensor values.
    Last updated
    1
    MIT
  • A
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    MCP server that enables AI assistants to interact with InterSystems IRIS databases through tools for SQL, globals, class methods, Atelier API, and interoperability, plus guided prompts for common workflows.
    Last updated
    26
    MIT
  • A
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    quality
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    A multi-backend gateway that enables access to various services like Google Drive and Notion through a single MCP connector. It currently provides comprehensive Google Drive integration for reading, writing, and managing files and folders.
    Last updated
    MIT
  • A
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    quality
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    Resolves scholarly identifiers — DOI, PubMed ID, PMCID, ISBN, ISSN, arXiv, ADS bibcode — into clean, formatted citations in any of 10,000+ CSL styles. Returns plain text, HTML, Markdown, RIS, BibTeX, CSL-JSON, or EndNote XML for direct paste or reference manager import.
    Last updated
    7
    718
    7
    MIT
  • A
    license
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    quality
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    maintenance
    MCP server that provides access to Austria's official legal database (RIS), enabling AI assistants to search and retrieve legal documents from Austrian federal and state law, court decisions, and law gazettes.
    Last updated
    12
    116
    9
    MIT
  • F
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    quality
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    maintenance
    Provides access to the Integrated Taxonomic Information System (ITIS) database via a Model Context Protocol server, enabling taxonomic searches by scientific name, TSN, kingdom, and rank, with features like autocomplete and hierarchical data retrieval.
    Last updated
    11
  • F
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    quality
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    maintenance
    MCP server that exposes Austrian federal law (Bundesrecht) to LLMs, enabling full-text search, paragraph retrieval, historical versions, statute lookup, BGBl lookups, amendment timelines, and citation searches via the public RIS OGD API.
    Last updated
  • F
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    quality
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    maintenance
    A minimal, well-structured MCP server implementation for learning and experimentation that exposes three tools: web search, API search, and client ID processing. It demonstrates clean separation between tool, transport, and LLM layers while supporting multiple AI clients through the Model Context Protocol standard.
    Last updated