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    Embeds live, interactive Tableau dashboards in ChatGPT, pushing mark selections to the model so questions about specific data points are answered with live queried numbers.
    1
    MIT
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    Enables querying Tableau lineage through the Metadata API via MCP, supporting impact analysis, where-used lookups, and content search. Provides read-only tools for answering natural-language questions about workbooks, datasources, fields, and dependencies.
    7
    1
    MIT
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    Interactive visualization of Microsoft Entra ID identity relationships, enabling exploration of org charts, groups, attributes, and access assignments through a D3 force-directed graph within MCP clients.
    8
    69
    MIT
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    Enterprise-grade MCP server for Sigma Computing, providing 155 tools for managing workbooks, data models, members, teams, deployments, webhooks, and multi-tenant operations. Enables AI assistants to interact with Sigma via natural language.
    155
    Apache 2.0
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    Enables AI assistants to create, edit, and export IFC5/IFCX building information models through natural language, handling spatial structure, elements, geometry, metadata, validation, and export.
    73
    14
    25
    Apache 2.0
  • A
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    An MCP server for interacting with Microsoft PowerBI REST API, providing tools for data cleaning, transformation, analysis, and visualization within PowerBI.
    4
    MIT
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    clariBI is an AI-powered business intelligence platform that lets SaaS and ecommerce teams ask plain-English questions across Stripe, HubSpot, Google Analytics, ad platforms, and 30+ other sources. The AI engine picks the right visualization from 24 chart types and generates dashboards automatically.
    MIT
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    Enables natural-language queries about disk usage by driving WizTree scans and analyzing cached CSV snapshots. Users can find large files, duplicate data, folder breakdowns, and more without repeatedly rescanning the disk.
    10
    MIT
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    A Windows MCP server for creating fully editable Microsoft Visio diagrams with compact SCI/IEEE styling, native arrowheads, obstacle-aware routing, and a pre-export geometry audit.
    MIT