Compatible with every major AI agent and IDE
Create checkout intent on HelloAsso
Pass the amount in cents (EUR) and other required fields as a JSON string in "body_json". Returns a redirect URL for the payer. Generate a checkout link to receive a payment
Get member details on HelloAsso
Get details for a specific member ID
Get order details on HelloAsso
Get details for a specific order ID
Get organization details on HelloAsso
Get detailed information about a specific organization by its slug
Get payment details on HelloAsso
Get details for a specific payment ID
List forms on HelloAsso
Each form has a "formType" and "formSlug" used for detailed lookups. List all campaigns/forms (Donations, Memberships, Events) for an organization
List my organizations on HelloAsso
Use this to find the "slug" required for other tools. List all organizations where the user has administrative rights
List orders on HelloAsso
An order represents one or more items purchased or donated by a user in a single session. List all orders (group of items/payments) for an organization
List payments on HelloAsso
Returns amounts in cents (EUR). Use this to track donations or membership payments. List all payments received by an organization
List sold items on HelloAsso
g., ticket, membership tier) that were part of orders. List all individual items sold/distributed by an organization
List subscriptions on HelloAsso
List recurring payments (subscriptions) for an organization
How Vinkius protects your data
Can I generate a payment link directly from the AI agent?
Yes! Use the create_checkout_intent action. You must provide the association slug and a JSON string with the amount (in cents) and return URL. The agent will return a redirect link for the user.
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.
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.
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.
What can AI Agents do with HelloAsso?
The HelloAsso integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Scaling nonprofit management via MCP
Connect the HelloAsso server to enable nonprofit management workflows. The integration provides structured schemas for Claude to mutate event management data.
Connecting donation tracking with Cursor
Add donation tracking functionality to your custom chatbots. The HelloAsso MCP handles the payload formatting required for ChatGPT and Claude to interface with event management endpoints.
HelloAsso. 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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