Vastu Compliance MCP Server

Production-oriented MCP server built with FastAPI for Autodesk workflows (Forma/Revit/APS), deterministic Vastu compliance checks, explainable recommendations, and structured JSON reporting.

Highlights

• FastAPI + OpenAPI-ready service

• MCP endpoints for tool initialization and execution

• Autodesk Platform Services integration layer (OAuth + metadata fetch)

• Geometry extraction and room/wall/door/window classification pipeline

• Directional zoning engine (8-zone compass mapping)

• Deterministic YAML/JSON Vastu rules engine

• Revit 3D footprint projection pipeline for compliance checks

• AutoCAD layout (DWG) entity projection pipeline for compliance checks

• Vedic/Puran knowledge ingestion and recommendation references

• Explainable recommendation layer (AI explanations only, no rule mutation)

• Compliance scoring + severity + confidence outputs

• Geometry validation and visualization overlays/heatmap payloads

• Plugin architecture for pre/post evaluation hooks

• Structured logging + request IDs + Prometheus metrics

• Async-by-default service and test-friendly module boundaries

• Docker and docker-compose support

Project Structure

app/
  api/
    deps.py
    routes/
      autodesk.py
      compliance.py
      mcp.py
  core/
    config.py
    logging.py
  mcp/
    server.py
  models/
    schemas.py
  plugins/
    audit_plugin.py
    base.py
    manager.py
  services/
    ai/explainer.py
    autodesk/client.py
    context/context_manager.py
    direction/engine.py
    geometry/engine.py
    knowledge/vedic_knowledge.py
    rules/engine.py
    scoring/compliance.py
    validation/geometry_validator.py
    visualization/overlay.py
    compliance_pipeline.py
  main.py
config/
  vastu_rules.yaml
  vedic_knowledge.yaml
tests/
  test_vastu_pipeline.py
revit-plugin/
  VastuRevitPlugin/
    App.cs
    Commands/AnalyzeVastuCommand.cs
    Services/RevitModelExtractor.cs
    Services/VastuApiClient.cs
    deploy/VastuRevitPlugin.addin
autocad-plugin/
  VastuAutoCADPlugin/
    Commands/VastuCommands.cs
    Services/AutocadLayoutExtractor.cs
    Services/VastuApiClient.cs
    deploy/PackageContents.xml
Dockerfile
docker-compose.yml
requirements.txt

Run Locally

1. Create .env from .env.example

2. Install dependencies:

   • pip install -r requirements.txt

3. Run:

   • uvicorn app.main:app --reload

Open docs:

• Swagger UI: http://localhost:8000/docs

• ReDoc: http://localhost:8000/redoc

• Metrics: http://localhost:8000/metrics

Run in Visual Studio Code

1. Open folder Vastu Compilance MCP in VS Code.

2. Create/select Python interpreter:

   • Ctrl + Shift + P -> Python: Select Interpreter

3. Create .env from .env.example.

4. Install dependencies in VS Code terminal:

   • python -m pip install -r requirements.txt

5. Run backend:

   • python -m uvicorn app.main:app --reload --host 0.0.0.0 --port 8000

6. Open Swagger:

   • http://localhost:8000/docs

Optional VS Code debug config (.vscode/launch.json):

{
  "version": "0.2.0",
  "configurations": [
    {
      "name": "FastAPI (uvicorn)",
      "type": "python",
      "request": "launch",
      "module": "uvicorn",
      "args": ["app.main:app", "--reload", "--host", "0.0.0.0", "--port", "8000"],
      "jinja": true
    }
  ]
}

MCP Endpoints

• POST /mcp/initialize

• GET /mcp/tools

• POST /mcp/tools/call

• POST /api/v1/compliance/analyze/revit3d

• POST /api/v1/compliance/analyze/autocad

• POST /api/v1/compliance/knowledge/ingest

Example MCP Tool Call

POST /mcp/tools/call

{
  "tool": "analyze_vastu_compliance",
  "arguments": {
    "payload": {
      "source": "direct_json",
      "true_north_degrees": 0,
      "elements": [
        {
          "id": "room-1",
          "name": "Kitchen",
          "element_type": "room",
          "polygon": [
            {"x": 0, "y": 0},
            {"x": 10, "y": 0},
            {"x": 10, "y": 10},
            {"x": 0, "y": 10}
          ],
          "metadata": {"room_type": "kitchen"}
        }
      ]
    },
    "context": {
      "client": "autodesk-forma",
      "project_id": "proj-01"
    }
  }
}

Example Revit 3D Compliance Request

POST /api/v1/compliance/analyze/revit3d

{
  "payload": {
    "source": "revit_3d",
    "true_north_degrees": 12,
    "elements": [
      {
        "id": "room-3d-1",
        "name": "Kitchen",
        "element_type": "room",
        "bounding_box": {
          "min": {"x": 0, "y": 0, "z": 0},
          "max": {"x": 12, "y": 8, "z": 3}
        },
        "metadata": {"room_type": "kitchen"}
      }
    ]
  },
  "context": {"client": "revit-plugin"}
}

Example AutoCAD Layout Compliance Request

POST /api/v1/compliance/analyze/autocad

{
  "payload": {
    "source": "autocad_layout_2d",
    "true_north_degrees": 0,
    "layout_name": "Ground Floor",
    "entities": [
      {
        "id": "room-1",
        "name": "Kitchen",
        "entity_type": "room",
        "points": [
          {"x": 0, "y": 0},
          {"x": 8, "y": 0},
          {"x": 8, "y": 6},
          {"x": 0, "y": 6}
        ],
        "metadata": {"room_type": "kitchen", "layer": "ROOM_KITCHEN"}
      }
    ]
  },
  "context": {"client": "autocad-plugin"}
}

Example Vedic Knowledge Ingestion

POST /api/v1/compliance/knowledge/ingest

{
  "entries": [
    {
      "source": "Skanda Purana",
      "principle": "Kitchen placement",
      "room_types": ["kitchen"],
      "preferred_zones": ["south_east"],
      "avoid_zones": ["north_east"],
      "guidance": "Cooking spaces are traditionally aligned with south-east."
    }
  ]
}

Docker

• Build and run: docker compose up --build

Revit Plugin

A Revit add-in scaffold is available in revit-plugin/ to call this server directly from Revit. See revit-plugin/README.md for build and install steps.

Revit add-in quick steps

1. Open revit-plugin/VastuRevitPlugin/VastuRevitPlugin.csproj in Visual Studio.

2. Confirm REVIT_API_DIR path in .csproj.

3. Build Release.

4. Copy VastuRevitPlugin.dll to a permanent path.

5. Copy revit-plugin/VastuRevitPlugin/deploy/VastuRevitPlugin.addin to:

   • %AppData%\Autodesk\Revit\Addins\2025\

6. Edit .addin <Assembly> path to built DLL.

7. Start Revit and click:

   • Vastu Compliance -> Analyze Vastu

AutoCAD Plugin

An AutoCAD .NET plugin scaffold is available in autocad-plugin/ with VASTUANALYZE command support. See autocad-plugin/README.md for build and install steps.

AutoCAD add-in quick steps

1. Open autocad-plugin/VastuAutoCADPlugin/VastuAutoCADPlugin.csproj in Visual Studio.

2. Confirm AUTOCAD_API_DIR path in .csproj.

3. Build Release.

4. In AutoCAD run command:

   • NETLOAD

5. Select VastuAutoCADPlugin.dll.

6. Run command:

   • VASTUANALYZE

Autodesk coding standard alignment

Current plugin/backend code follows these practical Autodesk extension conventions:

• .NET add-ins use explicit command entry points (IExternalCommand / CommandMethod).

• API interaction is isolated in dedicated client service classes.

• Model extraction and transport DTOs are separated for testability.

• Read-only operations are used for model extraction in Revit and AutoCAD.

• Failures are surfaced to host UI (TaskDialog / command line) with non-crashing behavior.

Security Notes

• APS credentials are loaded from environment variables only.

• Rule evaluation is deterministic and side-effect free.

• AI layer only generates explanations/recommendations for deterministic outcomes.