Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP-Estimator Estimate cost and BOM for a 20-camera warehouse surveillance system"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Agent interface for estimating video surveillance, structured cabling systems (SCS) and low-current systems projects.
Built for the OpenAI WebMCP Challenge.
uv venv --python 3.12
source .venv/bin/activate
uv pip install -e ".[dev]"
python -m src.appOpen http://localhost:8000 — web form for estimate calculation.
MCP endpoint: http://localhost:8000/mcp (Streamable HTTP).
Optional photo analysis dependencies:
uv pip install -e ".[vision]"Related MCP server: RoofMeasure MCP
estimate_project — calculate estimate from project parameters
get_bom — bill of materials
generate_proposal — commercial proposal
suggest_camera_placement — camera placement recommendations
PDF export: GET /api/estimate/pdf.
Python 3.12
mcp SDK (Streamable HTTP)
FastAPI + Jinja2
Ultralytics YOLOv8 (optional vision extra)
fpdf2
MIT
Agent interface for estimating video surveillance, structured cabling and low-current systems projects.
Built for the OpenAI WebMCP Challenge.
uv venv --python 3.12
source .venv/bin/activate
uv pip install -e ".[dev]"
python -m src.appOpen http://localhost:8000 for the web estimator.
MCP endpoint: http://localhost:8000/mcp (Streamable HTTP).
Optional photo analysis dependencies:
uv pip install -e ".[vision]"estimate_project — calculate estimate from project parameters
get_bom — bill of materials
generate_proposal — commercial proposal text
suggest_camera_placement — camera placement recommendations
PDF export: GET /api/estimate/pdf.
MIT
This server cannot be deployed
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