# Accessible Employment Visit Planner AI Agent Connect

> Accessible Employment Visit Planner MCP handles the logistics of disability-inclusive employment visits. It turns schedules and building access data into structured arrival protocols and communication templates. You can manage accommodation needs and participant roles while keeping personal disclosure strictly controlled.

## Overview
- **Category:** productivity
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_bIi0xu5Ofxx2SzYZEXq04SivFKjQQLgG1HXj6Dx3/ai-agent-connect
- **Tags:** disability-inclusive, employment-planning, privacy-protection, accessibility-tools, visit-logistics

## Description

Planning an employment visit requires more than just a time and a location. When accessibility is a factor, you need to account for physical entry points, quiet spaces, and specific accommodation requirements. This MCP manages those details for you. You provide the schedule and the building constraints, and your AI client generates a structured plan that covers everything from how to enter the building to how to engage with participants. It also acts as a privacy filter. You can draft messages to recruiters or employers and use the built-in validation to ensure you aren't sharing more personal information than necessary. Instead of manually checking every detail, you use this MCP to coordinate arrival sequences and participation levels, ensuring the visit is accessible and the communication remains professional and private.

## Tools

### calculate_arrival_logistics
This tool determines the exact sequence of physical actions you need to take to arrive at a location.

### validate_disclosure_compliance
Use this to check that your planned messages do not cross privacy boundaries or overshare personal information.

### generate_visit_plan
This tool creates a structured, detailed visit plan based on the specific inputs you provide.

### map_participation_roles
This tool assigns specific engagement levels to the people involved in the visit.

## Prompt Examples

**Prompt:** 
```
I have an interview at 10 AM at the downtown office. The building has a ramp at the North entrance. I need a quiet space for the interview. Here are my contact details and the employer's info.
```

**Response:** 
```
Your visit plan is ready. You should use the North entrance for ramp access. I have prepared a request for a quiet interview space and a confirmation plan for your arrival at 10 AM.
```

**Prompt:** 
```
Check if this message to the recruiter is okay: 'I require a screen reader for the technical test.'
```

**Response:** 
```
The message is compliant with your privacy boundaries and is ready to be sent to the employer.
```

**Prompt:** 
```
Help me plan my arrival for the site tour tomorrow. I am taking the bus and the building has limited elevator access.
```

**Response:** 
```
Based on your bus arrival and the building constraints, you should proceed to the main lobby and contact the receptionist via text to confirm elevator availability.
```

## Capabilities

### Visit Planning
Your agent creates structured visit plans from raw schedule and access data.

### Privacy Validation
The AI checks your outgoing messages to ensure you maintain strict control over personal disclosures.

### Logistics Mapping
Your agent calculates the physical steps needed for a successful arrival based on building constraints.

### Role Assignment
The AI maps out how different participants will engage during the visit.

## Use Cases

### Interview Preparation
A candidate uses the MCP to plan an entrance route via a ramp and request a quiet room.

### Privacy-Safe Communication
A user checks a message to a recruiter to ensure they aren't sharing too much sensitive data.

### Site Tour Logistics
A participant plans their arrival sequence when relying on public transit and limited elevator access.

### Participant Coordination
Organizers assign engagement levels to different attendees to ensure a smooth visit.

## Benefits

- Reduces the risk of accidental personal information disclosure.
- Standardizes arrival protocols based on specific building access data.
- Coordinates participant engagement levels through structured role mapping.
- Converts raw scheduling data into actionable visit instructions.

## How It Works

Connect your preferred client to Vinkius and start planning immediately.

1. Connect your AI client to the Vinkius hosted MCP.
2. Provide visit details like time, location, and accessibility needs.
3. Run tools to generate plans, check privacy, or map logistics.
4. Receive structured protocols and ready-to-use communication templates.

## Frequently Asked Questions

**What does this MCP actually do?**
It turns employment visit details into structured plans, arrival protocols, and privacy-compliant messages.

**How does it help with privacy?**
The validate_disclosure_compliance tool checks your messages to ensure you don't violate your own privacy boundaries.

**Can I use this with Claude or Cursor?**
Yes, you can use this with any MCP-compatible client like Claude, Cursor, or Windsurf once connected via Vinkius.

**Does it handle physical building access?**
Yes, it uses arrival logistics tools to determine the sequence of physical actions needed based on building constraints.

**Do I need to host the MCP myself?**
No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.

**How does the server handle my private medical information?**
The server uses `validate_disclosure_compliance` to ensure that no sensitive information is included in messages sent to employers, adhering strictly to your defined privacy boundaries.

**Can I generate specific arrival instructions?**
Yes, the `calculate_arrival_logistics` tool determines the exact sequence of physical actions needed to navigate a site based on your transport and building access details.

**What kind of visit plans can be created?**
The `generate_visit_plan` tool creates comprehensive plans including confirmation steps, request messages for employers, arrival actions, and post-visit follow-ups.