Integrate Arrivy with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate customer on Arrivy
Create a new customer record
Create task on Arrivy
Create a new service task in Arrivy
Get account check on Arrivy
Verify Arrivy account connection
Get task on Arrivy
Get details for a specific task
List crews on Arrivy
List all field crews and personnel
List customers on Arrivy
List all customers in the system
List locations on Arrivy
List all tracked locations
List tasks on Arrivy
List all service tasks in Arrivy
Update task on Arrivy
Update an existing service task
Security & Code Integrity Audit
Every tool in the Arrivy MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Can I assign a crew to a task via this server?
Yes, you can use the update_task tool and provide the crew IDs in the update body to assign or reassign tasks.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Triggering Arrivy via Natural Language
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the Arrivy MCP server to manage operations across the following domains.
Cursor Copilot for task orchestration
The Arrivy MCP integration translates natural language prompts into structured task orchestration queries. This allows agents to fetch and update field service management records securely.
AI Semantic Routing for delivery tracking
Connect the Arrivy server to enable delivery tracking workflows. The integration provides structured schemas for Claude to mutate field service management data.
Arrivy. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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