Integrate EZO Asset Intelligence with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet asset detailed data on EZO Asset Intelligence
Get detailed settings and information for a specific asset
Get ezo account metadata on EZO Asset Intelligence
Retrieve metadata and limits for your EZO account
List account members on EZO Asset Intelligence
List all members and users registered in your organization
List asset locations on EZO Asset Intelligence
List all physical locations and sub-locations configured in your account
List available assets on EZO Asset Intelligence
Identify assets that are currently available for checkout
List consumable inventory on EZO Asset Intelligence
List all consumable inventory items and their stock levels
List currently checked out assets on EZO Asset Intelligence
Identify all assets that are currently checked out to members
List managed assets on EZO Asset Intelligence
g. available, checked out) from the EZO API. List all fixed assets managed in your EZO account
List overdue checkouts on EZO Asset Intelligence
Identify assets that are past their expected return date (mock logic)
Quick asset volume audit on EZO Asset Intelligence
Retrieve a high-level summary of assets, inventory, and members
Security & Code Integrity Audit
Every tool in the EZO Asset Intelligence 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 audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Does the integration support multiple locations?
Yes, you can use the list_asset_locations tool to see all physical sites and sub-locations configured in your EZO account, and filter assets by location.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
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.
Triggering EZO Asset Intelligence via Natural Language
The EZO Asset Intelligence MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
AI-Driven asset tracking Workflows
The EZO Asset Intelligence server supports direct MCP connections for asset tracking. This provides Claude with the required permissions to execute erp operations functions.
ChatGPT fixed assets Automation
Use the EZO Asset Intelligence MCP to manage fixed assets requests. Models like Claude Code utilize this connection to perform reliable erp operations updates.
EZO Asset Intelligence. 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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