imnoo-team/quality-control-plan-mcp
by Various
MCP server that generates quality control plans and inspection reports from technical-drawing PDFs — tolerances, fits, threads, GD&T and surface finishes extracted automatically, b
MCP
imnoo-team/quality-control-plan-mcp
Added 13 Sept 2026
Overview
MCP server that parses technical-drawing PDFs to extract tolerances, fits, threads, GD&T, and surface finishes, then generates quality control plans and inspection reports. Produces balloon-numbered drawings, acceptance limits, and an Excel measurement report. Powers quality-check-protocol.imnoo.com.
Best for
Best for
Teams needing automated QC documentation from engineering drawings
Use cases
- Automate QC plan generation from drawing PDFs
- Extract GD&T and tolerance data for inspection
- Generate ballooned drawings and Excel measurement reports
How to use
Install
npx -y quality-control-plan-mcp Tools exposed
analyze_drawingload_analysisbuild_quality_planexport_quality_plan_excelexport_inspection_pdfIMNOO_ACCESS_TOKENQCP_APP_URLsection_orderinspection_classdefault_tools
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, VS Code
Notes
MCP server that parses technical-drawing PDFs to extract tolerances, fits, threads, GD&T, and surface finishes, then generates quality control plans and inspection reports. Produces balloon-numbered drawings, acceptance limits, and an Excel measurement report. Powers quality-check-protocol.imnoo.com.
0 stars on GitHub. Last updated 2026-09-11. Licensed MIT.
Use cases
- Automate QC plan generation from drawing PDFs
- Extract GD&T and tolerance data for inspection
- Generate ballooned drawings and Excel measurement reports
Pros
- Automates extraction from technical PDFs, reducing manual data entry
- Outputs include both visual ballooned PDF and structured Excel report
- Containerized via Dockerfile for reproducible deployment
Cons
- Requires Docker setup, not a plug-and-play binary
- Zero GitHub stars suggests early-stage or low adoption
- Accuracy depends on PDF quality and drawing clarity
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Automates extraction from technical PDFs, reducing manual data entry
- Outputs include both visual ballooned PDF and structured Excel report
- Containerized via Dockerfile for reproducible deployment
Cons
- Requires Docker setup, not a plug-and-play binary
- Zero GitHub stars suggests early-stage or low adoption
- Accuracy depends on PDF quality and drawing clarity
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.
