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Routific

Routific MCP Server

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Connect your AI assistant to Routific to solve complex vehicle routing problems, dispatch drivers, and manage global delivery timelines natively through chat.

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Routific
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What is the Routific API MCP Server?

The Routific API MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Routific API via 10 tools. Connect your AI assistant to Routific to solve complex vehicle routing problems, dispatch drivers, and manage global delivery timelines natively through chat. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

cancel_saas_jobcreate_platform_routecreate_saas_jobget_route_timelinelist_platform_jobspoll_async_solutionpublish_route_to_driversolve_async_vrp_longsolve_standalone_vrpupdate_saas_job

Tools for your AI Agents to operate Routific API

Ask your AI agent "List all current delivery jobs pending in the platform right now." and get the answer without opening a single dashboard. With 10 tools connected to real Routific API data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Routific MCP Server capabilities

10 tools
cancel_saas_job

This action is irreversible. Cancels and deletes a delivery job from the platform

create_platform_route

Creates a new route plan in the platform

create_saas_job

Provide a JSON object with order details. Creates a new delivery job in the platform

get_route_timeline

Retrieves the stop-by-stop timeline for a route

list_platform_jobs

Lists all delivery jobs in the Routific platform

poll_async_solution

Polls the status of an asynchronous VRP job

publish_route_to_driver

Publishes a route to the driver's mobile app

solve_async_vrp_long

Returns a job ID for polling. Submits a large Vehicle Routing Problem for asynchronous solving

solve_standalone_vrp

Provide a JSON object with visits, fleet, and options. Solves a standalone Vehicle Routing Problem synchronously

update_saas_job

Updates an existing delivery job

What the Routific MCP Server unlocks

Connect your conversational assistant directly to Routific, a premier logistics scaling platform. This integration seamlessly turns your AI into an advanced delivery dispatcher, allowing you to build multi-stop route solutions securely, manage outstanding delivery jobs, and proactively push dispatch tasks directly to drivers' mobile apps natively in one window.

What you can do

  • Automate VRP Computations — Submit basic logistics parameters (solve_standalone_vrp) or delegate massive multi-depot configurations organically (solve_async_vrp_long) and query asynchronous status returns effortlessly (poll_async_solution).
  • Control Saas Delivery Jobs — Tell the AI to actively audit outstanding orders (list_platform_jobs) or create fresh delivery injections accurately handling order constraints and priorities directly into the system (create_saas_job, update_saas_job).
  • Assemble & Publish Timelines — Review the resulting stop-by-stop ETAs securely calculated by algorithms natively inside the interface (get_route_timeline). Once completely satisfied, simply push the finalized route natively to the targeted driver's phone with an organic command (publish_route_to_driver).

How it works

1. Install the Routific operations module into your active MCP network architecture.
2. Sign in online to your Routific backend console normally using administrative or owner-level developer permissions and acquire a unique authorization bearer token assigned selectively to you in Settings.
3. Paste the generated Routific API Token densely into the secure component form variables completely locked down below.
4. Issue organic text questions natively to the interface: "Generate a standalone route resolving 4 pending visits and subsequently publish it smoothly to the designated driver's Routific mobile app."

Who is this for?

  • Fleet Owners & Dispatchers — Dynamically alter and resolve ongoing jobs via simple conversational overrides without needing to fight with routing engine web variables when managing live chaos continuously natively.
  • Logistics Center Operations — Fetch precise route matrices seamlessly containing granular ETAs dynamically parsed from the system without relying strictly upon legacy internal integrations proactively natively.
  • Enterprise Product Engineers — Easily execute deep and massive asynchronous routing batches proactively through an intuitive text interface dynamically tied natively to standard APIs natively natively.

Frequently asked questions about the Routific MCP Server

01

Can the AI push routes dynamically to drivers' smartphones automatically?

Yes! Activating the publish_route_to_driver function dynamically interacts with the saas infrastructure, natively pushing an authorized manifest to the delivery team's active Routific phone apps flawlessly.

02

Does `solve_standalone_vrp` handle extremely large thousands of stops simultaneously efficiently?

For very large batches, use solve_async_vrp_long instead. It processes the request asynchronously and you can poll for results with poll_async_solution. The standalone solver is best for smaller, real-time requests.

03

Can the integration update a delivery job after it has been created?

Yes. Use update_saas_job to modify constraints, priorities, or delivery details on an existing job without having to delete and recreate it.

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