MCP-Estimator
Click on "Install 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-EstimatorEstimate 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.
MCP-Estimator
Agent interface for estimating video surveillance, structured cabling systems (SCS) and low-current systems projects.
Built for the OpenAI WebMCP Challenge.
Quick start
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]"MCP tools
estimate_project— calculate estimate from project parametersget_bom— bill of materialsgenerate_proposal— commercial proposalsuggest_camera_placement— camera placement recommendations
PDF export: GET /api/estimate/pdf.
Stack
Python 3.12
mcpSDK (Streamable HTTP)FastAPI + Jinja2
Ultralytics YOLOv8 (optional
visionextra)fpdf2
License
MIT
MCP-Estimator
Agent interface for estimating video surveillance, structured cabling and low-current systems projects.
Built for the OpenAI WebMCP Challenge.
Quick start
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]"MCP tools
estimate_project— calculate estimate from project parametersget_bom— bill of materialsgenerate_proposal— commercial proposal textsuggest_camera_placement— camera placement recommendations
PDF export: GET /api/estimate/pdf.
License
MIT
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