# Repair Change Order Review AI Agent Connect

> Repair Change Order Review MCP gives your AI client the logic needed to vet construction change orders. It applies strict change-control rules to verify scope, pricing, and scheduling impacts while checking that every approval meets the required authority levels for your project.

## Overview
- **Category:** construction
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_asCPSjhKs8nPAc9QoFmEBPooqsF38N1MgwAlO0zh/ai-agent-connect
- **Tags:** construction, change-control, project-management, infrastructure, decision-support

## Description

Managing scope creep in construction requires constant vigilance. This MCP acts as a specialized logic layer for your AI agent, allowing it to evaluate proposed changes against your specific project rules. Instead of manually checking every line item, you can hand the data to your AI client to see if a change order actually makes sense. It checks if the proposed cost and schedule shifts are justified and if the person signing off has the actual authority to do so. You can use it to run quick checks on whether a change is the most efficient path or if it's just an expensive detour. It turns your agent into a technical auditor that flags unauthorized approvals or unrealistic budget requests before they become permanent project issues.

## Tools

### analyze_change_order
This tool evaluates a proposed change against your mandatory change-control rules. It checks if the request follows the established project logic.

### audit_approval_chain
Use this to verify that the provided approval evidence matches the required authority levels. It ensures the right people are signing off on changes.

### calculate_baseline_impact
This tool determines the new project schedule and budget targets. It updates your project baseline based on a successful change.

### validate_alternatives
This tool assesses whether the proposed change is actually the most efficient path forward. It helps you avoid unnecessary costs.

## Prompt Examples

**Prompt:** 
```
Evaluate this change: Original scope was building a 50m wall. Proposed change is a 60m wall. Cost impact is $5000, schedule impact is 2 days. Reason is soil instability. Approval is from the Site Manager.
```

**Response:** 
```
recommendation: approve, updatedBaseline: { newTotalBudget: [current + 5000], newTotalSchedule: [current + 2] }
```

**Prompt:** 
```
The project needs an extra $50,000 for structural reinforcement. The schedule will slip by 10 days. The reason is unexpected foundation issues. We have approval from the Project Manager.
```

**Response:** 
```
recommendation: defer, revisionQuestions: ["High-cost changes require Director or Executive level approval evidence."]
```

**Prompt:** 
```
We are proposing a change to use steel instead of wood. The cost is $2000 more. We considered using composite but it was too expensive. The original scope was timber framing.
```

**Response:** 
```
recommendation: negotiate, revisionQuestions: ["Please provide more detail on why the composite alternative was rejected."]
```

## Capabilities

### Rule-Based Validation
Your agent checks every change against strict project control rules.

### Authority Verification
The AI confirms that the person approving a change has the legal or organizational right to do so.

### Baseline Recalculation
Your agent calculates how a change will shift the total budget and timeline.

### Efficiency Auditing
The tool flags changes that might not be the most cost-effective option available.

## Use Cases

### Budget Impact Assessment
When a site issue arises, use the tool to see exactly how much the total budget must increase.

### Compliance Auditing
Check if a high-cost change order has been signed off by the correct executive level.

### Scope Verification
Validate that a proposed change is a legitimate response to site conditions like soil instability.

### Alternative Analysis
Determine if a contractor's proposed solution is actually the most efficient way to solve a problem.

## Benefits

- Reduces manual errors in budget and schedule recalculations.
- Prevents unauthorized changes by verifying approval authority.
- Identifies inefficient change requests through alternative validation.
- Maintains a strict audit trail for all scope modifications.

## How It Works

Connect the MCP to your AI client to start running change order audits immediately.

1. Connect your AI client to the Vinkius-hosted MCP.
2. Provide the change order details to your AI agent.
3. The agent uses the specific tools to run rules, audits, or calculations.
4. Receive a recommendation, a list of questions, or updated project targets.

## Frequently Asked Questions

**What AI clients can I use with this MCP?**
You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

**How does the tool handle unauthorized approvals?**
The audit_approval_chain tool checks the provided evidence against required authority levels and can recommend deferring the change if the signer lacks sufficient authority.

**Can this MCP update my project schedule?**
Yes, the calculate_baseline_impact tool determines the new schedule and budget targets based on the approved change.

**Do I need to host the MCP myself?**
No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the tools.

**What happens if a change is not the most efficient option?**
The validate_alternatives tool assesses the proposed path and can prompt you to investigate more efficient alternatives.

**How does the tool decide to approve a change?**
The `analyze_change_order` tool requires all mandatory fields including scope, cost, schedule, and `approvalEvidence` to be present to consider an approval.

**Can I update my project budget after a change is approved?**
Yes, once a change is validated, you can use `calculate_baseline_impact` to determine the new total budget and schedule.

**What happens if the approval evidence is insufficient?**
If the `audit_approval_chain` tool finds that the evidence does not match the required authority level for the cost impact, the recommendation will be to defer.