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Connect Property Showing Itinerary Optimizer to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Stop wasting time on impossible driving routes and scheduling gaps.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Property Showing Itinerary.

  1. 01

    Calculate optimized itinerary

    This capability builds a complete sequence of property visits based on your specific constraints.

  2. 02

    Detect travel conflicts

    It finds gaps in your schedule where the drive time between two properties is longer than the time you have available.

  3. 03

    Find earliest start time

    This capability tells you the absolute earliest you can leave your starting point to hit your first appointment.

  4. 04

    Validate itinerary feasibility

    It checks if a specific, pre-set list of property visits is actually physically possible to complete.

Real work

What teams actually run

01

Daily Showing Planning

An agent provides a list of five properties and asks the AI to create the most efficient driving route.

02

Route Validation

A user checks if a client's requested viewing order can actually be completed without being late.

03

Morning Prep

An agent asks the AI for the earliest departure time to reach their first appointment from home.

04

Conflict Identification

The AI flags a schedule where a 20 minute drive is required between two appointments only 10 minutes apart.

One connector, every AI

Property Showing Itinerary works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Property Showing Itinerary to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

928ms average. Fast in production.

Property Showing Itinerary is checked daily against the live service.

Daily averagePeak 1119ms
Oct 2Today
Fastest day
775ms
Slowest day
1119ms
14-day trend
Improving-18%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Property Showing Itinerary, so you can see the experience inside your AI.

It does not authenticate your account with Property Showing Itinerary. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Property Showing Itinerary Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_NMJvtw42NSrIGNsL59UGQgA6dM9QzpnNT26IXhwD/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Property Showing Itinerary capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "property-showing-itinerary-optimizer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_NMJvtw42NSrIGNsL59UGQgA6dM9QzpnNT26IXhwD/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Property Showing Itinerary in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Property Showing Itinerary owners hand off.

Real estate professionals who spend their days moving between multiple properties.

  • 01

    Real Estate Agents

    Hand off lists of addresses and appointment times to the AI to build daily schedules.

  • 02

    Property Managers

    Use the AI to coordinate multiple viewing windows across different locations.

  • 03

    Logistics Coordinators

    Delegate the math of travel windows and route sequencing to an AI agent.

FAQ

Questions Property Showing Itinerary owners ask.

  • 01

    How does this MCP help real estate agents?

    It automates the math behind property showings by calculating travel times, optimizing visit orders, and identifying scheduling conflicts.

  • 02

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 03

    What happens if a route is impossible?

    The detect_travel_conflicts capability will identify specific segments where the travel time exceeds the available time between appointments.

  • 04

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.

  • 05

    Can it tell me when to leave my house?

    Yes, the find_earliest_start_time capability determines the earliest you can depart to arrive at your first location on time.

  • 06

    How does the capability handle travel times?

    The engine uses a provided travel matrix to calculate the exact time required to move between locations, ensuring all scheduled visits are physically possible.

  • 07

    Can I check if a specific route is valid?

    Yes, you can use validate_itinerary_feasibility to verify if a pre-defined sequence of property visits respects all appointment windows.

  • 08

    What happens if a property cannot be visited within its window?

    When using calculate_optimized_itinerary, properties that cannot be reached within their allowed window are excluded from the visit order and listed in the conflicts array.

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