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AndreyStartsev

Revit MCP Bridge

by AndreyStartsev
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    • Revit MCP Server

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      Enables AI clients to interact with Autodesk Revit for building design, editing, analysis, clash detection, MEP, interop, documentation, and model persistence via 48 tools.
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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 13 tools

    Disambiguation5/5

    Each tool targets a distinct action or resource: screenshot capture, user selection request, user snip request, HUD state, instance management, model metadata, code execution, selection retrieval, geometry retrieval, and warnings. The potential overlap between capturing screenshots and retrieving the latest screenshot is resolved by clear action boundaries, and requesting selection versus getting current selection is explicitly differentiated.

    Naming Consistency4/5

    All tools use snake_case with a consistent revit_ prefix, and most follow a verb_noun pattern. Minor deviations exist: revit_ping is verb-only and revit_set_busy uses an adjective rather than a noun, but overall the set is highly predictable.

    Tool Count5/5

    The 13 tools are well-scoped for a Revit bridge that handles instance management, user interaction, screenshots, model inspection, and Python execution. No tool appears redundant, and the count fits comfortably within a focused operational set.

    Completeness4/5

    The surface covers core bridge workflows including connection management, user-driven selection/snipping, screenshot capture, model metadata, selection/geometry retrieval, warnings, and arbitrary Python execution for modifications. Direct CRUD tools for elements and transaction helpers are absent, but revit_execute_python provides a broad escape hatch.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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