Does the AI agent process payments directly?

No, the AI agent retrieves and manages data from your Donately account, it does not act as a payment gateway itself.

Can the AI agent create new fundraising campaigns?

Currently, the agent can list and retrieve information about existing campaigns, but campaign creation should be done in the Donately dashboard.

Is donor data safe with the AI agent?

Yes, the agent only accesses the data necessary to answer your prompts and does not store personal donor information permanently.

INSTANT PLUG AND PLAY

Donately MCP Server for CrewAIGive CrewAI instant access to 11 tools to Create Donation, Get Campaign, Get Donation, and more

Name: Donately
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 11 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.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The Donately app connector for CrewAI is a standout in the Customer Relationship Management category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 11 available tools "
        "and what they can do."
    ),
)

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

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

What you can do

Retrieve and list incoming donations.
Manage and list your fundraising campaigns.
Access donor information and contacts.
Keep track of recurring subscriptions and peer-to-peer fundraisers.

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.

The Donately 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.

All 11 Donately tools available for CrewAI

When CrewAI connects to Donately through Vinkius, your AI agent gets direct access to every tool listed below — spanning donations, fundraising-campaigns, donor-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_donation

Create a new donation

get_campaign

Get details of a specific campaign

get_donation

Get details of a specific donation

get_fundraiser

Get details of a specific peer-to-peer fundraiser

get_person

Get details of a specific person (donor)

get_subscription

Get details of a specific recurring donation (subscription)

list_campaigns

Campaigns are the primary way to organize fundraising efforts. List campaigns for the Donately account

list_donations

Useful to track incoming contributions and donor activities. Supports pagination and filtering. List donations for the Donately account

list_fundraisers

List peer-to-peer fundraisers for the Donately account

list_people

List people (donors/contacts) for the Donately account

list_subscriptions

List recurring donations (subscriptions) for the Donately account

Connect Donately to CrewAI via MCP

Follow these steps to wire Donately into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 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

Example Prompts for Donately in CrewAI

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

"List my recent donations from Donately."

"Find details about a specific campaign."

"Retrieve a list of our recurring subscriptions."

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.