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Alternatives to pbi-webview2

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to securely connect to your own Power BI or Fabric tenant using your Azure identity, with tools to inspect workspaces and models, run read-only DAX, validate and deploy your own reports, take page screenshots, and enforce guardrails that protect shared resources.
      1
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables an AI assistant to control and read a locally running desktop charting application via Chrome DevTools Protocol, supporting Pine Script development, chart navigation, drawing, alerts, replay, and screenshots.
      76 npm
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to control and inspect a live Chrome browser for automated web debugging, performance analysis, and Lighthouse audits. It allows agents to capture screenshots, monitor network requests, and measure Core Web Vitals using plain-English prompts.
      1,026,016 npm
      Apache 2.0
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to interact with TradingView Desktop via Chrome DevTools Protocol for automated morning briefs, chart analysis, Pine script development, and trading workflows.
      76 npm
      -
    • A
      license
      C
      quality
      B
      maintenance
      Enables AI agents and developers to automate real Chrome/Chromium browsers through the Chrome DevTools Protocol, with token-efficient snapshots, multi-action batching, shadow DOM traversal, system-page control, extension management, and network/WebSocket inspection.
      64
      MIT

    TDQS

    A3.7/5.0

    Scored across 33 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, with detailed descriptions that differentiate similar functionalities (e.g., pbi_eval vs pbi_run_code, pbi_snapshot vs pbi_deep_snapshot). A few pairs could be confused (pbi_type vs pbi_search_slicer) but the descriptions provide enough context to resolve ambiguity.

    Naming Consistency5/5

    All tools consistently follow a 'pbi_' prefix with a verb_noun pattern (e.g., pbi_click, pbi_read_cards, pbi_search_slicer). There is no mixing of naming conventions, and the pattern is predictable and clear.

    Tool Count3/5

    With 33 tools, the server covers a wide range of Power BI automation tasks, but the count feels high for an MCP server. Some tools are noted as inert or very niche (e.g., pbi_emulate_theme), suggesting slight bloat. Still, the domain complexity somewhat justifies the number.

    Completeness4/5

    The tool set covers essential operations: launch, navigation, visuals reading, interaction (click, type, slicer, context menu), data query (DAX, TMDL), error scanning, and state probing. Missing are data refresh or structural modifications like adding pages or visuals, but for automation and testing, the set is comprehensive.

    Maintenance

    ActivityStale
    ResponsivenessNo issues