How to Use the Donorbox MCP in Mastra AI

Q: Can I require human approval before Mastra AI modifies Donorbox records?

Yes. You can configure requireToolApproval on your agent. This ensures that before your Mastra AI agent takes action based on data from listrecurringdonationplans, a human must click approve.

Q: How do I register the Donorbox MCP Server in my Mastra AI configuration?

You initialize the client using @mastra/mcp and point it to the Vinkius URL. From there, you call listTools() and spread the tools directly into your agent's tool array.

Q: How do I track campaign goals automatically?

You set up a step in your workflow that calls getcampaigndetails to check progress. If the target is met, the workflow can trigger success notifications or update your external databases.

Build automated, resilient donor retention workflows using Mastra AI and Donorbox.

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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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Build self-healing Donorbox workflows

When a recurring payment fails, you can't rely on manual intervention. Mastra AI uses this MCP Server to run automated retry logic, checking `list_active_subscription_plans` to flag accounts that need immediate attention. If a plan goes inactive, the workflow engine triggers a branch. It automatically grabs details with `list_recurring_donation_plans` and prepares a custom re-engagement sequence for the donor.

Automate campaign audits in Mastra AI

Stop wasting time manually pulling reports every Monday morning. Let your Mastra AI agent use this MCP Server to run `quick_campaign_performance_audit` on a schedule, analyze the results, and post a summary directly to your team's Slack. If a campaign falls behind its target, the agent uses `get_campaign_details` to isolate the problem. It can then draft targeted email campaigns based on real-time performance deficits.

Intelligent donor verification routing

Routing donor inquiries shouldn't be a guessing game. When a support ticket comes in, your workflow uses `search_donors_by_email` to verify their identity and donation history in seconds. It then pulls recent transactions via `list_latest_contributions` to give your support team full context. This ensures high-value supporters get prioritized routing automatically.

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-mcp-client",
  servers: {
    "donorbox-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

Mastra AI features a built-in workflow engine with automatic retries and exponential backoff. If `list_donorbox_donations` hits a rate limit, the client pauses and retries the call without breaking your automation.

Yes. You can configure `requireToolApproval` on your agent. This ensures that before your Mastra AI agent takes action based on data from `list_recurring_donation_plans`, a human must click approve.

You initialize the client using `@mastra/mcp` and point it to the Vinkius URL. From there, you call `listTools()` and spread the tools directly into your agent's tool array.

You set up a step in your workflow that calls `get_campaign_details` to check progress. If the target is met, the workflow can trigger success notifications or update your external databases.

All API keys are encrypted at rest using AES-256 and never exposed to the LLM. Your donor names, emails, and transaction histories retrieved via `list_registered_donors` are processed in ephemeral V8 isolates that dissolve immediately after execution.

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