How do I find my HelloAsso API credentials?

Log in to your HelloAsso account, go to **Mon Compte > Integrations & API**. You can generate your **Client ID** and **Client Secret** from the API section there.

What is an organization 'slug'?

The slug is the unique textual identifier for your association (e.g., in `helloasso.com/associations/my-asso`, the slug is `my-asso`). You can find it by using the `list_my_organizations` tool.

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.

Is the integration secure for association data?

Absolutely. The integration uses industry-standard OAuth 2.0 Client Credentials over HTTPS. Your credentials are encrypted and stored securely within the Vinkius Cloud infrastructure.

HelloAsso MCP Server for CrewAI 11 tools — connect in under 2 minutes

Name: HelloAsso
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to HelloAsso through Vinkius, pass the Edge URL in the `mcps` parameter and every HelloAsso tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="HelloAsso Specialist",
    goal="Help users interact with HelloAsso effectively",
    backstory=(
        "You are an expert at leveraging HelloAsso tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in HelloAsso "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About HelloAsso MCP Server

Connect your HelloAsso account to any AI agent and take full control of your French non-profit management workflows through natural conversation.

When paired with CrewAI, HelloAsso becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call HelloAsso tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Organization Oversight — List and inspect all organizations where you have administrative rights.
Campaign Management — List all active and past forms (Donations, Memberships, Events, Shop).
Payment Monitoring — Access your financial history, track donations, and retrieve detailed payment metadata.
Order Handling — List and inspect orders to understand payer behavior and item distribution.
Checkout Intents — Generate redirect links for payments directly from the chat interface.
Member & Subscription Tracking — Manage your membership base and monitor recurring donation plans.

The HelloAsso MCP Server exposes 11 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect HelloAsso to CrewAI via MCP

Follow these steps to integrate the HelloAsso MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 11 tools from HelloAsso

Why Use CrewAI with the HelloAsso MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with HelloAsso through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

HelloAsso + CrewAI Use Cases

Practical scenarios where CrewAI combined with the HelloAsso MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries HelloAsso for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries HelloAsso, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain HelloAsso tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries HelloAsso against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

HelloAsso MCP Tools for CrewAI (11)

These 11 tools become available when you connect HelloAsso to CrewAI via MCP:

create_checkout_intent

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

Get details for a specific member ID

get_order_details

Get details for a specific order ID

get_organization_details

Get detailed information about a specific organization by its slug

get_payment_details

Get details for a specific payment ID

list_forms

Each form has a "formType" and "formSlug" used for detailed lookups. List all campaigns/forms (Donations, Memberships, Events) for an organization

list_my_organizations

Use this to find the "slug" required for other tools. List all organizations where the user has administrative rights

list_orders

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

Returns amounts in cents (EUR). Use this to track donations or membership payments. List all payments received by an organization

list_sold_items

g., ticket, membership tier) that were part of orders. List all individual items sold/distributed by an organization

list_subscriptions

List recurring payments (subscriptions) for an organization

Example Prompts for HelloAsso in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with HelloAsso immediately.

"List all active campaigns for my association 'Protect Oceans'."

"Show me the last 5 payments received today."

"Generate a checkout link for a 50 EUR donation."

Troubleshooting HelloAsso MCP Server with CrewAI

Common issues when connecting HelloAsso to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

HelloAsso + CrewAI FAQ

Common questions about integrating HelloAsso MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.