How to Use the Donorbox MCP in Mastra AI

Q: Can Mastra AI verify my Donorbox API health?

It can. You should include checkapihealth as a pre-flight tool in your workflow to make sure the connection is active before running tasks.

Q: Can I use Donorbox tools in conditional branches?

Certainly. You can use the output of listdonations to branch your workflow logic based on the donor's previous giving history.

Q: Does Mastra AI support Donorbox webhook management?

Yes. You can use listconfiguredwebhooks to monitor your current integrations and ensure your workflows are triggered by the right events.

Build resilient nonprofit workflows with Mastra AI and the Donorbox MCP Server.

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Connect Donorbox MCP to Mastra AI

Create your Vinkius account to connect Donorbox to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Donorbox with Mastra AI

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Automate Donorbox recovery workflows

Define agent steps that trigger `resume_recurring_plan` if a payment fails. Mastra AI handles the retries and backoff logic automatically. This ensures your organization doesn't lose momentum when a recurring donation hits a snag. You define the logic and the agent follows it.

Connect Donorbox to multi-step agents

Create complex sequences where `list_fundraising_campaigns` informs the next step of an email outreach agent. You build the pipeline and the framework manages the state. This keeps your operations running without constant human intervention. You can test each step individually to ensure data flows correctly between services.

Secure Donorbox tool access in Mastra AI

Require human approval for sensitive operations like `cancel_recurring_plan`. You maintain control over your nonprofit's financial records while letting agents handle the routine tasks. This setup balances automation with caution. You see exactly what the agent intends to do before the final command goes through.

Setup guide

Set up Donorbox MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Donorbox tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "donorbox-alternative-mcp-client",
  servers: {
    "donorbox-alternative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Donorbox Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Donorbox tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Donorbox transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Donorbox. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Donorbox MCP in Mastra AI

Register the server URL in your agent configuration. Mastra AI will auto-detect the available tools so you can add them to your agent's toolkit.

It can. You should include `check_api_health` as a pre-flight tool in your workflow to make sure the connection is active before running tasks.

The connection uses encrypted transport for all data, including donor contact info and transaction history. No data is cached on our end.

Certainly. You can use the output of `list_donations` to branch your workflow logic based on the donor's previous giving history.

Yes. You can use `list_configured_webhooks` to monitor your current integrations and ensure your workflows are triggered by the right events.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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Google ADK sdk-python

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Mastra AI sdk-typescript

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