# Legacy Instructions Coverage Review MCP. AI Agent Connect

> Legacy Instructions Coverage Review MCP audits legacy instructions against collection facts, recipient wishes, and stewardship rules. It identifies coverage gaps, catches logical conflicts, and flags missing decision fields so you can ensure your instructions are complete and actionable.

## Overview
- **Category:** management
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_diuyxQABoj614rgnFxT89Pt1hsc28zckK85ikGys/ai-agent-connect
- **Tags:** audit, validation, instructions, compliance, stewardship

## Description

You can use this MCP to verify that your legacy instructions actually match the reality of your collection and the wishes of your recipients. Instead of manually checking every line against your facts, your AI client can run a full audit to find where instructions contradict your actual holdings or stewardship rules. It flags missing decision fields that would leave executors guessing, such as disposal methods or recipient designations. You'll get a clear view of what's covered and a specific checklist of what's missing. This makes it easy to move from a fragmented set of notes to a cohesive, conflict-free instruction set.

## Tools

### detect_statement_conflicts
This tool flags contradictions between legacy instructions and the facts or wishes you've provided. It catches instances where an instruction might tell someone to sell an item that you've explicitly noted should be kept.

### find_missing_decisions
This tool scans your instructions to see if they fail to provide guidance for required decision fields. It identifies where you've left a gap in the decision-making process.

### generate_completion_checklist
This tool produces a summary checklist of the specific steps needed to reach a complete and conflict-free set of instructions. It gives you a roadmap to fix identified gaps.

### get_covered_instructions
This tool measures how well your current instructions align with your provided collection facts and rules. It shows you exactly which parts of your instructions are successfully validated.

## Prompt Examples

**Prompt:** 
```
Check if these instructions cover my collection facts: 'Sell everything' vs Fact: 'Keep the gold coins'.
```

**Response:** 
```
A conflict was detected: The instruction to 'Sell everything' contradicts the collection fact stating 'Keep the gold coins'.
```

**Prompt:** 
```
What decision fields are missing from my current instructions?
```

**Response:** 
```
The following decision fields are missing: 'Recipient Designation' and 'Disposal Method'.
```

**Prompt:** 
```
Generate a checklist to fix my instructions.
```

**Response:** 
```
1. Resolve the conflict regarding the gold coins. 2. Add guidance for the 'Recipient Designation' decision field. 3. Define the 'Disposal Method'.
```

## Capabilities

### Conflict Detection
Your agent uses this to find logical contradictions between instructions and facts.

### Gap Analysis
Your agent identifies missing decision fields required for a complete instruction set.

### Alignment Verification
Your agent checks how well instructions match specific stewardship rules.

### Actionable Checklists
Your agent builds a list of necessary updates to resolve all identified issues.

## Use Cases

### Estate Instruction Auditing
Verify that a client's wishes for their assets don't conflict with the actual inventory of the estate.

### Collection Stewardship
Ensure that legacy instructions for a museum or private collection follow established preservation rules.

### Decision Field Validation
Check if a set of instructions includes all necessary fields like recipient designation and disposal methods.

### Gap Remediation
Use the generated checklist to systematically fix incomplete or conflicting legacy documents.

## Benefits

- Identifies logical contradictions between instructions and collection facts.
- Flags missing decision fields to prevent executor confusion.
- Produces a checklist to guide the completion of instruction sets.
- Validates instruction alignment with specific stewardship rules.

## How It Works

Connect your AI client to Vinkius and start auditing instructions immediately.

1. Connect your preferred MCP-compatible client to Vinkius.
2. Provide your legacy instructions and collection facts to your AI agent.
3. Ask the agent to run an audit or check for specific conflicts.
4. Review the identified gaps or contradictions reported by the MCP.
5. Use the generated checklist to finalize your instructions.

## Frequently Asked Questions

**What can this MCP do with my legacy instructions?**
It audits them for contradictions, finds missing decision fields, and checks if they align with your collection facts and stewardship rules.

**How does it identify conflicts?**
The tool compares the text of your instructions against the facts and wishes you provide, flagging any logical mismatches.

**Can it tell me what is missing from my instructions?**
Yes, it can detect if you have failed to provide guidance for required decision fields and can generate a checklist to help you fill those gaps.

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

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

**How do I check if my instructions are complete?**
You can use the `generate_completion_checklist` tool after running the coverage and conflict detection tools to see exactly what is missing.

**What is a conflict in this context?**
A conflict occurs when an instruction directly contradicts a verified collection fact or a specific stewardship rule.

**Can I use this with Claude Desktop?**
Yes, this MCP server is compatible with Claude Desktop, Cursor, VS Code, Windsurf, and any other MCP-compatible client via Vinkius Edge.