mcp · Global

ai-for-structural-engineers

AI for structural engineers and engineering students: verified Eurocode calculations in Python (Finnish NA), free PyNite frame analysis, Revit MCP and Robot Structural Analysis MCP with Claude Code. Every result checked.

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What's in it

Data offered docs-verified: Eurocode EN 1995 timber and EN 1993 steel calculations in Python (Finnish NA) · 2D/3D frame and beam analysis with PyNite (free) · Reading and editing Tekla Structures models, with steel beam checks to EC3 · Reading Revit structural framing and section properties · Driving Robot Structural Analysis models via MCP · Plasticity and mechanics-of-materials examples (von Mises, Tresca, Ramberg-Osgood, plastic hinge)
Coverage docs-verified: Finland (Finnish National Annex values for Eurocode); no UK annex included
Formats docs-verified: Python · MATLAB · YAML
Access docs-verified: Code is Apache-2.0 and free; Eurocode and PyNite paths need no licence. Claude Code needs a paid Claude plan (Pro or Max) or API credits. Tekla Structures, Revit 2027 and Robot licences are needed for those integrations. MATLAB is optional.

Useful for

Use cases llm-inferred: Two-span continuous steel beam moment and deflection check against closed-form formulas (PyNite) · Steel beam bending and lateral-torsional buckling check to EN 1993 using a section read from an open Tekla model · Checking Revit structural framing section properties against model geometry before analysis
Audience docs-verified: structural engineers · structural engineering students · BIM/civils engineers

Limitations

Constraints docs-verified: No Eurocode or national annex values are shipped; the user must supply them (Finnish values only as an example) · No UK-specific content (UK National Annexes, UK-focused datasets) identified in the docs · Tekla, Revit and Robot integrations require those licensed products; Revit integration is specific to Revit 2027 · Robot MCP is third-party and has known gaps; Tekla MCP is a community GPLv3 server installed outside the repo · Not a data source: provides no datasets or environmental/hydrological APIs · AI output can be confidently wrong and must be checked by the user

Licence: Apache-2.0
Authentication: Unknown — review source docs
GitHub stars: 1
Last commit: 11/10/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: Not recorded
Verification: Not independently verified

Auto-extracted, unverified fields: tools, auth. Check upstream documentation.

Provenance & evidence

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 16/10/2026 · research sweep: github-search