# Social Profile Visibility Check AI Agent Connect

> Social Profile Visibility Check MCP audits your social media configurations against your specific privacy policies. It identifies exactly where sensitive data is visible to the wrong people and helps you verify the right settings to close those gaps. Your AI client can scan for exposure mismatches and suggest the specific changes needed to stay private.

## Overview
- **Category:** security
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_PCy0x4s7vrQU9EURMUvhKhFYy5vVCS4eAgSX8Ewt/ai-agent-connect
- **Tags:** privacy, audit, social-media, security, profile-management

## Description

You shouldn't have to manually click through every privacy menu on every social platform to know if your data is safe. This MCP acts as a specialized auditor for your digital footprint. It compares your actual profile settings against the privacy standards you actually want to maintain. If your policy says your birthdate should be private but your settings show it as public, this MCP catches that mismatch immediately.

Instead of guessing who can see your email or location, you can get a clear breakdown of data exposure. You can run a full audit to see where you're vulnerable, calculate a risk score to understand your exposure level, and even test proposed setting changes before you commit to them. It turns the tedious work of privacy management into a direct conversation with your AI agent.

## Tools

### analyze_profile_alignment
This tool performs a core audit by comparing your current profile data and settings against a specific privacy policy.

### get_audience_risk_level
This tool calculates a risk score based on how your profile is currently configured.

### list_field_visibility_matrix
This tool provides a detailed breakdown showing exactly which audiences can view specific pieces of your profile data.

### validate_setting_change
This tool checks if a proposed change to a privacy setting will actually fix an existing exposure mismatch.

## Prompt Examples

**Prompt:** 
```
Check if my profile matches my privacy policy.
```

**Response:** 
```
Your profile has 2 exposure mismatches: your birthdate is visible to the public, but your policy restricts it to friends only. You should change your account visibility to private.
```

**Prompt:** 
```
What is my current privacy risk level?
```

**Response:** 
```
Your current risk level is High because your search visibility is set to public while your policy requires strict privacy.
```

**Prompt:** 
```
Who can see my email address?
```

**Response:** 
```
Your email address is currently visible to all users due to your public profile setting.
```

## Capabilities

### Privacy Policy Auditing
Your agent compares live profile settings against your written privacy requirements.

### Risk Scoring
Your AI client calculates a numerical risk level based on current exposure.

### Visibility Mapping
Your agent generates a matrix showing which specific users can see specific data fields.

### Change Validation
Your agent tests if a new setting will successfully resolve a detected privacy gap.

## Use Cases

### Policy Compliance
Verify that your social media settings actually follow the privacy policy you've published.

### Exposure Detection
Find out if sensitive fields like your birthdate or email are visible to the public.

### Risk Assessment
Get a quick risk score to see how much personal information is currently exposed.

### Setting Verification
Test a new privacy setting to confirm it closes a specific security gap before you save it.

## Benefits

- Identifies specific mismatches between intended privacy and actual settings.
- Provides a clear risk score to quantify data exposure.
- Maps data visibility to specific audiences to remove guesswork.
- Validates setting changes to ensure they actually fix the problem.

## How It Works

Connect the MCP to your AI client to start auditing your social media privacy.

1. Connect the MCP to your preferred client like Claude or Cursor via Vinkius.
2. Provide your privacy policy or desired privacy constraints to your AI agent.
3. Run an audit to identify mismatches between your settings and your policy.
4. Review the visibility matrix to see who can access your data.
5. Use the validation tool to confirm that proposed setting changes fix the exposure.

## Frequently Asked Questions

**What does this MCP actually do?**
It audits social media profile settings against a privacy policy to find where sensitive data is visible to unauthorized people.

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

**How does it identify privacy risks?**
It compares your current profile configuration against your desired privacy rules and calculates a risk score based on those mismatches.

**Does it tell me who can see my data?**
Yes, it uses a visibility matrix to show exactly which audiences can view specific profile fields.

**Can I test changes before I make them?**
Yes, you can use the validation tool to check if a proposed setting change will successfully resolve an exposure mismatch.

**How do I check if my profile is too public?**
You can use the `analyze_profile_alignment` tool by providing your current profile data and your desired privacy policy to identify any mismatches.

**Can I test a privacy setting change before applying it?**
Yes, the `validate_setting_change` tool allows you to verify if a proposed setting adjustment will successfully resolve existing exposure mismatches.

**What does the risk score represent?**
The risk score is a normalized value calculated by `get_audience_risk_level` that indicates your level of data exposure based on your current settings.