How do I get a Donately API Key?

Log in to your Donately dashboard, navigate to **Settings > API Key**, and you can retrieve your unique API Key from there. Ensure you have the necessary permissions within your organization.

Can the agent process new donations?

This integration currently focuses on listing and auditing donations, donors, and campaigns. Processing new donations with credit card details should be managed via your Donately forms or donation pages.

Does the integration show recurring donations?

Yes, you can use the list_all_donations or get_donation_details tools to identify and retrieve information for both one-time and recurring contributions.

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

Name: Donately
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Donately Specialist",
    goal="Help users interact with Donately effectively",
    backstory=(
        "You are an expert at leveraging Donately 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 Donately "
        "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 Donately MCP Server

Integrate Donately, the simplest online fundraising platform, directly into your AI workflow. Manage your donations and recurring contributions, track donor profiles and lifetime giving, monitor fundraising campaigns and progress, and oversee your fundraisers using natural language.

When paired with CrewAI, Donately becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Donately 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.
Donor Intelligence — Monitor real-time donor profiles, contact details, and lifetime giving history across your organization.
Campaign Monitoring — Track fundraising campaigns, goals, and current progress metrics to ensure successful outcomes.
Contribution Auditing — Retrieve high-level summaries of fundraising performance and identify your most impactful contributors instantly.

The Donately 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 Donately to CrewAI via MCP

Follow these steps to integrate the Donately 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 Donately

Why Use CrewAI with the Donately MCP Server

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

Donately + CrewAI Use Cases

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

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

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

Donately MCP Tools for CrewAI (10)

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

get_campaign_performance_summary

Retrieve a high-level summary of a specific campaigns performance

get_donately_account_metadata

Retrieve metadata and limits for your Donately account

get_donation_details

Get detailed information for a specific donation

get_donor_profile

Get full profile and giving history for a specific donor

list_active_donors

List all donors registered in your Donately organization

list_all_donations

List all donations received in your Donately account

list_fundraising_campaigns

List all fundraising campaigns configured in Donately

list_highest_lifetime_donors

Identify donors with the highest lifetime contribution totals (mock logic)

list_latest_contributions

Identify the most recently received donations

search_donations_by_email

Search for donations matching a specific donor email address

Example Prompts for Donately in CrewAI

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

"List the latest donations received."

"Show me the progress for our 'Summer Relief' campaign."

"Research the donor profile for 'robert.brown@example.com'."

Troubleshooting Donately MCP Server with CrewAI

Common issues when connecting Donately 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.

Donately + CrewAI FAQ

Common questions about integrating Donately 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.