# Exhibition Label Content Builder AI Agent Connect

> Exhibition Label Content Builder MCP connects your AI client to a professional museum drafting workflow. It uses verified item facts and specific audience profiles to generate formal labels that follow strict editorial constraints. You can draft entire collections, check for compliance against exhibition rules, and resolve missing data points to finalize your curation work.

## Overview
- **Category:** content-generation
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_Nja7uJt5DwRIAyX811PhEAxdZv9VFBhFlBP8VXl7/ai-agent-connect
- **Tags:** curation, museum, exhibition, labeling, editorial

## Description

You can now use your AI client to handle the heavy lifting of museum drafting. This MCP acts as a bridge between your raw data and the final text displayed in a gallery. Instead of letting an agent hallucinate details, this tool forces the output to stick to verified item facts and specific length requirements. You provide the source data and the target audience, and the agent produces formal, ready-to-review labels. If a draft misses a requirement or includes a prohibited claim, you can run it through a validation check to ensure it meets your exhibition's editorial standards. It's a way to keep your curation process disciplined and factually grounded without losing the speed of an AI-driven workflow.

## Tools

### draft_exhibition_labels
This tool generates formal exhibition labels for a full collection of items at once.

### query_item_facts
Use this to pull the specific set of verified facts used to justify a label's content.

### resolve_approval_request
This tool provides the missing information needed to finalize a label that was previously flagged.

### validate_label_compliance
This tool checks an existing draft against the strict constraints of your specific exhibition setup.

## Prompt Examples

**Prompt:** 
```
Draft an exhibition label for a Roman coin with these facts: material: gold, origin: Rome, date: 1st Century AD, audience: general public, max words: 30.
```

**Response:** 
```
This gold coin originated in Rome during the 1st Century AD. It serves as a significant example of Roman currency from this era.
```

**Prompt:** 
```
Check if this label is compliant: 'This ancient vase is extremely valuable and worth millions.' Constraints: { "lengthLimit": 20, "prohibitedClaims": ["speculative valuations"] }
```

**Response:** 
```
The label is non-compliant due to the prohibited claim regarding speculative valuation.
```

**Prompt:** 
```
Retrieve the facts used for item ID 'COIN-001'.
```

**Response:** 
```
The facts used for COIN-001 are: material: gold, origin: Rome, date: 1st Century AD.
```

## Capabilities

### Fact-Based Drafting
The agent generates text based strictly on provided item data.

### Compliance Checking
Your agent verifies that drafts meet length limits and editorial rules.

### Data Verification
You can pull the exact source facts used for any generated label.

### Error Resolution
The agent can ingest new info to fix flagged or incomplete labels.

## Use Cases

### Collection Labeling
Generate a batch of labels for a new shipment of artifacts using a single command.

### Editorial Auditing
Run existing drafts through a compliance check to catch prohibited claims or length violations.

### Fact Verification
Quickly double-check the source data behind a specific label to ensure accuracy.

### Content Refinement
Fix labels that were flagged for missing information by providing the necessary data points.

## Benefits

- Ensures all labels stay grounded in verified item facts.
- Automates the drafting of large item collections.
- Enforces strict editorial and length constraints.
- Reduces manual checking by validating drafts against rules.

## How It Works

Connect your AI client to Vinkius to access the drafting tools immediately.

1. Connect your preferred MCP-compatible client to Vinkius.
2. Provide the item facts and audience profile to your agent.
3. Use the drafting tool to create the initial label text.
4. Run a compliance check to verify the draft meets all constraints.
5. Resolve any flagged issues by providing missing data.

## Frequently Asked Questions

**How does this MCP ensure labels are accurate?**
The tool is designed to generate text by strictly adhering to the item facts you provide, preventing the agent from making up details.

**Can I use this with Claude or Cursor?**
Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf.

**What happens if a label is too long for my display?**
You can set length constraints and use the validation tool to check if a draft exceeds your limits.

**How do I fix a label that was flagged as non-compliant?**
You can use the tool to resolve approval requests by providing the specific missing information required to finalize the label.

**Does Vinkius host the MCP?**
Yes, Vinkius hosts and manages the MCP so it is ready to use as soon as you connect your client.

**How do I ensure the labels follow my museum's style?**
You can provide preferred terminology and phrasing templates using the `approvedWording` parameter in the `draft_exhibition_labels` tool.

**What happens if the item facts are insufficient?**
If facts are missing or contradict the audience profile, the system will flag the item for approval. You can then use `resolve_approval_request` to provide the necessary information.

**Can I check if a label is too long?**
Yes, use the `validate_label_compliance` tool to check any draft against your specific length limits and prohibited claims.