Compatible with every major AI agent and IDE
Get payment details on Spendesk
Get detailed information about a specific payment
Get supplier details on Spendesk
Get detailed information about a specific supplier
List budgets on Spendesk
List all budgets and their spending status
List cards on Spendesk
List all virtual and physical cards issued
List expense claims on Spendesk
List all employee expense claims and reimbursement requests
List invoices on Spendesk
List all invoices pending or processed
List members on Spendesk
List all team members with Spendesk access
List payments on Spendesk
List all payments in the Spendesk account
List suppliers on Spendesk
List all registered suppliers
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.
How can the AI help me understand a specific expense claim?
You can provide the Expense ID from your list_expense_claims search and ask natural questions. The AI will pull the structured data and explain explicitly who submitted the reimbursement, the exact amount, the associated spending currency, and the current processing status, formatting it all into an easily digestible summary.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
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 Spendesk via Natural Language
This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.
ChatGPT corporate cards Automation
The Spendesk MCP integration translates natural language prompts into structured corporate cards queries. This allows agents to fetch and update money moves records securely.
Mastering invoice processing with Agents
The Spendesk server exposes documented endpoints for invoice processing. This allows ChatGPT and Cursor to interact with money moves APIs seamlessly.
Spendesk. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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Purpose-built IDE for agentic AI coding workflows.
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Leading Python framework for composable LLM applications.
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