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Connect School Run Route Timetable to ChatGPT and Claude

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. Build precise departure schedules for school transport routes.

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.

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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 School Run Route Timetable.

  1. 01

    Calculate departure schedule

    This capability builds a complete, ordered timetable of departure times based on a specific sequence of stops and a school arrival deadline.

  2. 02

    Get return trip timetable

    This capability calculates the timing for the vehicle's journey once the school drop-off or arrival is finished.

  3. 03

    Optimize buffer allocation

    This capability suggests how to distribute available slack time across different stops to create a more comfortable schedule.

  4. 04

    Validate route feasibility

    This capability checks if a proposed sequence of stops and travel durations can actually be completed within a specific timeframe.

Real work

What teams actually run

01

Morning Route Planning

Create a precise departure list for a bus that must arrive at a school by a specific time.

02

Route Feasibility Checks

Confirm if a new set of student stops can be serviced within the available morning window.

03

Afternoon Return Trips

Plan the vehicle's movement from the school back to the depot or the next stop.

04

Schedule Smoothing

Use buffer allocation to ensure drivers have enough time at each stop to avoid running late.

One connector, every AI

School Run Route Timetable 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 School Run Route Timetable 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

858ms average. Fast in production.

School Run Route Timetable is checked daily against the live service.

Daily averagePeak 1303ms
Oct 2Today
Fastest day
746ms
Slowest day
1303ms
14-day trend
Improving-43%

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 School Run Route Timetable, so you can see the experience inside your AI.

It does not authenticate your account with School Run Route Timetable. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

School Run Route Timetable Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_l9mnRKzWjjyPgN0nXFkO7rhQcdtW6bUgqW54nowX/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 — School Run Route Timetable capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "school-run-route-timetable-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_l9mnRKzWjjyPgN0nXFkO7rhQcdtW6bUgqW54nowX/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 School Run Route Timetable in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work School Run Route Timetable owners hand off.

This MCP is built for transport coordinators and logistics planners who need to turn stop lists into actionable timetables.

  • 01

    Transport Coordinators

    They hand off stop sequences and arrival times to the AI to get instant, accurate timetables.

  • 02

    School Administrators

    They use the capability to verify if proposed bus routes meet the school's morning schedule requirements.

  • 03

    Logistics Managers

    They use the buffer optimization to manage driver workloads and route reliability.

FAQ

Questions School Run Route Timetable owners ask.

  • 01

    How does this MCP handle boarding time?

    The MCP accounts for mandatory boarding buffers when calculating departure times to ensure the vehicle stays on schedule.

  • 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 via Vinkius.

  • 03

    Does it only work for morning routes?

    No, it includes specific capabilities for calculating return trip timetables after the school arrival is complete.

  • 04

    How does it decide when a route is impossible?

    The validation capability compares the total travel time and required buffers against your available time window to see if the sequence can be completed.

  • 05

    What is buffer allocation?

    It is a process where the MCP suggests how to spread out extra time across different stops to create a more reliable and less rushed schedule.

  • 06

    How do I generate a full timetable?

    You can use the calculate_departure_schedule capability by providing the pickup addresses, the school arrival deadline, leg durations, and stop buffers.

  • 07

    Can I check if my route is physically possible?

    Yes, the validate_route_feasibility capability checks if the sequence of stops and durations fits within your required timeframe.

  • 08

    How can I add extra safety time to my stops?

    Use the optimize_buffer_allocation capability to distribute available slack time across your stops using either an even or front-loaded distribution.

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