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Compliance Prover MCP. Validate structural designs against US building codes.

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Engineering Compliance Prover validates structural designs against specific US codes (ASCE, ACI, NEC). It forces AI agents to calculate explicit capacity-demand ratios, trace load paths, and analyze failure modes, moving beyond vague 'best practices' to verifiable, code-level engineering analysis.

What your AI agents can do

Validate engineering compliance

Runs a full compliance check, forcing the AI to define scope, load assumptions, failure modes, safety factors, and material tolerances against US codes.

Validate against specific building codes

Checks if a proposed structure meets requirements defined by specific, named codes like ASCE or ACI.

Trace load paths

Maps all forces—dead, live, seismic, wind—through a structure to ensure no load assumption is missed.

Calculate safety ratios

Forces the AI to calculate explicit capacity-demand ratios and factors of safety, comparing them to code minimums.

Analyze failure modes

Requires the AI to analyze how a structure could fail (e.g., buckling, fatigue) and state which failure mode controls the design.

Specify material constraints

Ensures the design accounts for specific material grades (like ASTM A992) and environmental tolerances.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Engineering Compliance Prover MCP Server: 1 Tool

Execute structural analysis, trace load paths, and verify safety factors against required building codes using the single available tool.

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validate engineering compliance

Runs a full compliance check, forcing the AI to define scope, load assumptions, failure modes, safety factors, and material tolerances against US codes.

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What you can do with this MCP connector

Engineering Compliance Prover forces your AI agent to do the heavy lifting when it comes to structural design. It doesn't just give you a plausible sketch; it makes sure the structure actually holds up against real-world forces and specific US building codes. Your agent can't just 'feel' like a design is safe—it has to prove it, step by step.

It'll make your client check if the proposed structure meets requirements defined by specific, named codes like ASCE or ACI. It'll trace every force—dead, live, seismic, and wind—through the whole structure so you don't miss any load assumption. You'll force your agent to calculate explicit capacity-demand ratios and factors of safety, comparing them directly to code minimums.

It requires the AI to analyze how the structure could fail, like buckling or fatigue, and state which failure mode controls the final design. The system also makes sure the design accounts for specific material grades, like ASTM A992, and environmental tolerances.

Using the validate_engineering_compliance tool, it runs a full compliance check, forcing your AI to define the scope, load assumptions, failure modes, safety factors, and material tolerances against US codes. This tool makes sure your agent doesn't skip any critical step, which is exactly what you need for high-stakes engineering work.

How Compliance Prover MCP Works

  1. 1 First, you define the entire scope: the project boundaries, the applicable code (e.g., ASCE 7-22), and all load assumptions (dead, live, seismic).
  2. 2 Next, the tool forces the agent to analyze specific failure modes, calculate capacity-demand ratios, and trace every load path. If any of these steps are missing, the tool rejects the analysis.
  3. 3 Finally, you receive a definitive verdict: either the design is proven compliant, or the tool reports a structural deficiency, pointing exactly where the analysis failed.

The bottom line is: it forces the AI to perform rigorous, step-by-step engineering work instead of giving a general 'yes, it looks fine' answer.

Who Is Compliance Prover MCP For?

The structural engineer who can't afford a miscalculation. The civil engineer needing proof of compliance. The project manager who needs to audit AI-generated specs before they hit a client review. This tool stops vague assumptions in their tracks.

Structural Engineer

Uses the tool to verify that an AI-generated beam design meets AISC or ACI standards, calculating the precise capacity-demand ratio.

Civil Engineer

Runs compliance checks on retaining wall designs, ensuring all soil loads and specific material tolerances are addressed before finalizing specs.

Technical Compliance Officer

Audits AI-drafted technical reports to ensure they cite specific, normative codes (like ASCE 7-22) instead of general 'best practices'.

What Changes When You Connect

  • Stops Code Blindness: You never have to accept a vague reference to 'industry standards.' The tool forces the agent to cite specific normative codes (e.g., ACI 318, ASCE 7) and sections.
  • Quantifies Safety: Instead of just saying 'it's safe,' the tool makes the AI calculate and compare explicit capacity-demand ratios and factors of safety against code minimums.
  • Maps Every Force: The tool tracks load paths, forcing the agent to quantify all load assumptions—dead, live, seismic, thermal—and trace them through the entire structure.
  • Mandates Detail: It prevents the AI from ignoring failure modes. It forces analysis of yielding, buckling, or fatigue, identifying which specific failure mechanism controls the design.
  • Requires Specs: You can't use 'steel.' The tool forces the inclusion of specific material grades, tolerances, and environmental constraints, making the output actionable.
  • Controls the Output: The tool acts as a pre-flight check. It won't let the AI conclude a design until all required engineering pivots are addressed.

Real-World Use Cases

01

Reviewing a new retaining wall design

A civil engineer needs to validate a 10ft concrete retaining wall. They ask their agent to design it, but then run it through the validate_engineering_compliance tool. The tool rejects the initial design, forcing the agent to quantify soil loads and specify the concrete grade using ACI 318, solving the compliance gap.

02

Validating a steel beam span

A structural engineer designs a W-shape steel beam. They use the tool, specifying AISC 360-16. The tool confirms the load paths and calculates the max capacity ratio, ensuring the beam can handle the combined live and dead loads safely.

03

Checking electrical wiring specs

An electrical team drafts a wiring plan. They run the plan through the tool, checking compliance against NEC. The tool flags the missing analysis of voltage drop and thermal runaway, forcing the agent to add the necessary failure mode analysis.

04

Iterating on design assumptions

A design team makes a change to the structure. Instead of manually checking the manual, they run the validate_engineering_compliance tool again. It immediately detects if the change broke the load path or introduced a new, unanalyzed failure mode, preventing costly field errors.

The Tradeoffs

Vague 'Industry Standard' Calls

The agent responds: 'The design is very safe, following industry standards.' You waste time arguing about what 'industry standards' means.

Run the validate_engineering_compliance tool. You must explicitly state the code (e.g., ASCE 7-22) and force the calculation of the factor of safety, which the tool demands.

Ignoring Failure Modes

The agent optimizes for cost, but ignores how the structure could buckle under minor lateral stress, leading to a hidden failure point.

Use validate_engineering_compliance and explicitly ask it to analyze failure modes (yielding, buckling, fatigue). The tool will demand a specific analysis for the controlling condition.

Skipping Load Assumptions

The agent calculates for dead and live loads, but forgets to include seismic or wind loads, leading to a structure that fails in an earthquake.

Run the tool and include all load assumptions—dead, live, seismic, thermal—in the scope. The tool forces the agent to trace the full load path for every condition.

When It Fits, When It Doesn't

Use this if your project requires proof. Use it when the cost of failure is high—think bridges, high-rise buildings, or critical infrastructure. You need the AI to prove why a design works, not just that it works.

Don't use it if you're just generating conceptual sketches or initial brainstorming. For those, a general-purpose LLM is fine. If your task is merely to summarize existing documentation, this tool is overkill. If you need to generate a list of possible materials, don't use it. You need a tool that forces deep, verifiable, quantitative analysis. This is a mandatory step in your CI/CD pipeline, not an optional review step.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Engineering Compliance Prover. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 1 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

validate_engineering_compliance

Designing structures shouldn't rely on vague assurances.

Today, engineers often get designs from AI that are technically plausible. These models might mention 'best practices' or 'industry standards.' They sound convincing, but they skip the hard math—the actual calculations for capacity-demand ratios or the specific code section that validates the approach. You end up spending hours cross-referencing vague text against actual building codes.

With the Engineering Compliance Prover, you feed the design and the required standard (like ACI 318). The tool forces the AI to generate a fully traceable report. It won't let you move forward until the agent quantifies the safety factor and traces every single load path. It turns 'it looks sturdy' into verifiable data.

Engineering Compliance Prover MCP Server: Force rigorous analysis.

Manual compliance checks require dedicated experts to read the code book and cross-reference every single assumption. This is slow, expensive, and impossible to scale with modern development velocity. It's a bottleneck.

Now, you run the tool. The AI handles the cross-referencing of ASCE 7-22 against live load assumptions, material grades, and failure modes—all in one prompt. It’s not just an aid; it’s a mandatory gate that ensures the output is structurally sound.

Common Questions About Compliance Prover MCP

How do I use the Engineering Compliance Prover for a simple residential home? +

You must still specify the applicable code (e.g., local IBC code) and define all load assumptions (dead, live, snow). The tool will force you to calculate the factor of safety, which is required even for basic residential structures.

Does the Engineering Compliance Prover handle electrical codes (NEC)? +

Yes. You must include NEC in the scope and define the load assumptions (e.g., current, distance). The tool will then check for missing failure modes, like voltage drop or thermal runaway, which are critical for electrical safety.

What if my design uses custom materials? +

You must specify the material grade and tolerance (e.g., ASTM A992 steel) when calling the tool. The tool won't accept 'steel' and will force you to ground the analysis in specific, quantifiable data.

Is this better than just asking a general LLM? +

Yes. General LLMs provide plausible-sounding text; the Prover provides verifiable steps. It forces the agent to perform calculations and explicitly state assumptions, making the output actionable and auditable.

How does the validate_engineering_compliance tool enforce specific US codes using the Engineering Compliance Prover? +

It forces the agent to cite specific standards (like ASCE 7-22) and sections. The tool requires defined inputs: scope, load assumptions, failure modes, and material tolerances. It won't accept 'industry standards' as valid input.

What kind of input data does the Engineering Compliance Prover need for a structural analysis? +

You must provide the project scope, all load assumptions (dead, live, wind, seismic), and the specific applicable code. The tool demands quantitative data like capacity-demand ratios and material grades.

Can the Engineering Compliance Prover handle multiple building codes simultaneously? +

The tool is designed to validate against a single, explicitly stated normative code. You must define the precise standard (e.g., ACI 318) and the relevant sections for the analysis to proceed.

What happens if the validate_engineering_compliance tool fails during an analysis? +

A failure means your engineering analysis has a structural deficiency. The output forces you to identify the deficiency and correct it before the agent can provide a final conclusion or recommendation.

Can this MCP run FEA simulations or structural math? +

No. This is a strictly stateless reasoning gatekeeper. It does not perform mathematical structural analysis or run simulations. It validates the structural logic of the AI's engineering reasoning based on the inputs provided, ensuring no assumptions are skipped.

Why did the Prover reject my design with CODE_COMPLIANCE_BLIND? +

Because the reasoning relied on vague appeals like 'industry standards' or 'standard engineering practice'. To pass the Prover, you must cite specific US codes (e.g., ASCE 7-22, AISC 360-16) and applicable sections.

What happens if I omit material grades? +

The Prover will reject the design with TOLERANCE_OMITTED. In engineering, 'steel' or 'concrete' is not a specification. You must specify exact grades like 'ASTM A992' or '4000 psi compressive strength'.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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