Arrivy Connector for AI agents.
9 live capabilities
Coordinate field service jobs and last-mile deliveries from your AI workspace.
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Why people use Arrivy
Arrivy Field Service Management for Dispatchers
This Connector changes that by putting all those data points in your AI workspace. You can just ask your agent for an update, and it pulls the location, the task status, and the customer info in one go. You get a clear answer instead of a dozen open tabs.
What Vinkius changes
You stop switching tabs and start getting answers directly in your chat.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Emergency Dispatch
A customer calls with a leak.
- Real-world use case 02
Live ETA Updates
A client asks for an ETA.
- Real-world use case 03
End of Day Audit
An ops manager checks the day's work.
Complete set · 9capabilities
The complete Arrivy capability set.
These are the exact actions your AI can choose when you ask it to work with Arrivy.
01—03
3 capabilities in this set.
Part of 9 available through Arrivy.
- 01 Capability
Create task
Generate a new service or delivery job on the fly. It's the fastest way to get work into the field.
- 02 Capability
Get task
Pull up the specific details for any individual service job. Use this to see what needs to be done and who's on it.
- 03 Capability
List crews
See every crew and team member currently in your system. This helps with planning your daily assignments.
04—06
3 capabilities in this set.
Part of 9 available through Arrivy.
- 04 Capability
List tasks
Pull a full list of every task in your queue. Use this to see what's coming up next.
- 05 Capability
Update task
Change the status or details of an existing job. Use this to mark a job as finished or in progress.
- 06 Capability
Create customer
Add a new client to your system quickly. This keeps your records clean and ready for future jobs.
07—09
3 capabilities in this set.
Part of 9 available through Arrivy.
- 07 Capability
Get account check
Verify that your Arrivy connection is active and healthy. Use this to ensure your agent can still see your data.
- 08 Capability
List customers
Get a full list of every customer you've worked with. Use this for quick lookups and history checks.
- 09 Capability
List locations
See all the tracked locations for your field teams. This is how you get a bird's eye view of your fleet.
Set up in minutes
One URL. Then ask Arrivy to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Arrivy from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_pz3FJSQ1yT8jYRKDpUmENCNCEcRGZMcdtl11dzHT/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Arrivy, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Arrivy for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_pz3FJSQ1yT8jYRKDpUmENCNCEcRGZMcdtl11dzHT/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Arrivy URL.
- Step 03
Save and start
Save the connection and enable Arrivy in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"arrivy": {
"url": "https://edge.vinkius.com/vk_preview_pz3FJSQ1yT8jYRKDpUmENCNCEcRGZMcdtl11dzHT/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Arrivy
Open Agent mode in chat and ask: "Using Arrivy, help me...". 9 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"arrivy": {
"url": "https://edge.vinkius.com/vk_preview_pz3FJSQ1yT8jYRKDpUmENCNCEcRGZMcdtl11dzHT/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Arrivy
Ask Copilot: "Using Arrivy, help me...". 9 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"arrivy": {
"url": "https://edge.vinkius.com/vk_preview_pz3FJSQ1yT8jYRKDpUmENCNCEcRGZMcdtl11dzHT/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Arrivy
Open Cascade and ask: "Using Arrivy, help me...". 9 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"arrivy": {
"url": "https://edge.vinkius.com/vk_preview_pz3FJSQ1yT8jYRKDpUmENCNCEcRGZMcdtl11dzHT/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Arrivy
Ask Cline: "Using Arrivy, help me...". 9 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add arrivy --transport http "https://edge.vinkius.com/vk_preview_pz3FJSQ1yT8jYRKDpUmENCNCEcRGZMcdtl11dzHT/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Arrivy
Ask Claude: "Using Arrivy, show me...". 9 tools are ready
Where the request belongs
Work Arrivy can move forward.
This is for the dispatcher who's constantly on the phone trying to give updates and the ops manager who's tired of chasing down technicians for status reports.
Dispatcher
Creating jobs and assigning crews based on incoming customer requests during a busy shift.
Operations Manager
Auditing active jobs and monitoring field crew progress to ensure deadlines are met.
Customer Success Rep
Checking ETAs and job history to provide accurate updates to clients on the phone.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Manage support workforce and scheduling with Assembled. track agent states, teams, and forecasts via AI.
OptimoRoute
Optimize delivery routes via OptimoRoute. create orders, track driver locations, and manage route planning directly from any AI agent.
MotionTools
Manage logistics and delivery operations via MotionTools. track bookings, drivers, and vehicles directly from your AI agent.
Giddyup
Coordinate field service teams with job dispatching, route optimization, and real-time status updates for mobile workforces.
Onfleet
Manage last-mile deliveries via Onfleet. create tasks, track drivers, check ETAs, and complete orders directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Arrivy connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Arrivy.
The practical details behind the request, access and result.
Can Arrivy MCP help me track my delivery drivers?
Yes, it pulls real-time location data and ETAs for your drivers. You can ask your agent where a specific delivery is, and it will give you the current location and expected arrival time.
How does Arrivy MCP manage my field crews?
It lets your agent list all personnel and check their current assignments. This makes it easy to see who is available for a new job without looking at a spreadsheet.
Can I create new service jobs using Arrivy MCP?
Yes, you can describe a new job to your agent and it will create the task in Arrivy for you. This includes setting the location and details from your conversation.
Does Arrivy MCP work for last-mile delivery?
It is built specifically for that. It handles the delivery tracking and task orchestration needed to coordinate last-mile logistics from your AI workspace.
How do I see my customer history with Arrivy MCP?
Your agent can pull up records for any client instantly. This helps you see past service history and contact details while you're talking to a customer.
Can Arrivy MCP update job statuses automatically?
While it doesn't update on its own, your agent can trigger status changes for you. You can just tell the agent a job is done, and it will update the record for you.
How do I find my Arrivy API Key?
Log in to your Arrivy account, go to Settings > Integrations, and you will find your API Key under the Developer or API section.
Can I assign a crew to a task via this server?
Yes, you can use the update_task capability and provide the crew IDs in the update body to assign or reassign tasks.
Does Arrivy support real-time ETAs?
Yes, Arrivy calculates real-time ETAs based on field personnel location. You can retrieve these via the get_task or list_locations capabilities.
One connection away
Give your agent a direct line to Arrivy.
Connect Arrivy once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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