How do I get a Donorbox API Key?

Log in to your Donorbox account, navigate to **Account > API & Integrations**, and you can generate or retrieve your unique API Key from there. You will also need your account email.

Can the agent manage recurring plans?

This integration currently focuses on listing and auditing recurring plans and their status. Modifying plan details or amounts should be managed via the Donorbox dashboard.

Does the integration show donor contact info?

Yes, you can use the list_registered_donors or search_donors_by_email tools to retrieve donor profile details, including their registered email addresses.

Donorbox MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Donorbox
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Donorbox through Vinkius, pass the Edge URL in the `mcps` parameter and every Donorbox 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

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Donorbox Specialist",
    goal="Help users interact with Donorbox effectively",
    backstory=(
        "You are an expert at leveraging Donorbox 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 Donorbox "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 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 Donorbox MCP Server

Integrate Donorbox, the powerful and easy-to-use donation software, directly into your AI workflow. Manage your one-time and recurring donations, track donor profiles and subscription plans, monitor fundraising campaigns and progress, and oversee your donation forms using natural language.

When paired with CrewAI, Donorbox becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Donorbox 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

Donation Oversight — List and retrieve detailed information and payment status for all your received contributions.
Subscription Intelligence — Monitor active recurring donation plans, frequencies, and donor identifiers across your organization.
Campaign Monitoring — Track fundraising campaigns, goals, total raised amounts, and progress percentages to ensure successful outcomes.
Donor Auditing — Retrieve high-level summaries of donor engagement and identify your most loyal contributors instantly.

The Donorbox MCP Server exposes 10 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 Donorbox to CrewAI via MCP

Follow these steps to integrate the Donorbox 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 10 tools from Donorbox

Why Use CrewAI with the Donorbox MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Donorbox 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

Donorbox + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Donorbox 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 Donorbox, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Donorbox 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 Donorbox against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Donorbox MCP Tools for CrewAI (10)

These 10 tools become available when you connect Donorbox to CrewAI via MCP:

get_campaign_details

Get detailed settings and progress for a specific campaign

get_donorbox_account_metadata

Retrieve metadata for the current authenticated user

list_active_subscription_plans

Identify recurring plans that are currently in an "Active" status

list_donorbox_donations

List all donations received in your Donorbox account

list_fundraising_campaigns

List all fundraising campaigns configured in Donorbox

list_latest_contributions

Identify the most recently received donations

list_recurring_donation_plans

List all active recurring donation plans

list_registered_donors

List all donors registered in your Donorbox organization

quick_campaign_performance_audit

Retrieve a high-level summary of all campaign success rates

search_donors_by_email

Search for a donor using their email address

Example Prompts for Donorbox in CrewAI

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

"List all recent donations received in Donorbox."

"Show me the performance for campaign 'Save the Oceans'."

"Find the recurring plan for donor 'sarah.jones@example.org'."

Troubleshooting Donorbox MCP Server with CrewAI

Common issues when connecting Donorbox 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.

Donorbox + CrewAI FAQ

Common questions about integrating Donorbox 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.