How to Use the Donately MCP in Mastra AI

Q: How do I build a multi-step Donately email search in Mastra AI?

You register searchdonationsbyemail as a tool within your Mastra AI agent. The workflow then passes the email from incoming support tickets directly to the tool to retrieve the matching transaction history.

Q: How does the agent fetch account limits and metadata?

The agent calls getdonatelyaccountmetadata during the initialization step of your workflow. This allows your Mastra AI system to check API limits before running high-volume batch operations.

Build automated, resilient donor retention workflows using Mastra AI and the Donately MCP Server.

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Connect Donately MCP to Mastra AI

Create your Vinkius account to connect Donately 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 Donately with Mastra AI

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Automated Retention Workflows with Mastra AI

The `list_highest_lifetime_donors` tool allows your Mastra AI agents to identify top supporters and trigger multi-step retention sequences. If a high-value donor's giving frequency drops, the workflow engine automatically schedules a personalized outreach task. You can build complex conditional logic around this data without writing custom cron jobs. Mastra AI manages the execution state, retrying the database query via the MCP Server if the initial connection drops.

Fail-Safe Donation Monitoring

Monitoring incoming funds relies on `list_latest_contributions` to flag new transactions as they clear. Mastra AI workflows process these events sequentially, ensuring that every contribution triggers the correct internal notification. If an external webhook fails, the built-in backoff mechanism retries the `get_donation_details` call until it succeeds. This prevents missing critical transaction data during high-volume fundraising periods.

Dynamic Donor Profile Synchronization

Your agent uses `get_donor_profile` to pull the complete history of any supporter before updating your CRM. Mastra AI coordinates these lookups across multiple steps, passing the giving history directly into your synchronization pipelines. When a donor updates their information, `search_donations_by_email` verifies existing records before modifying the profile. The framework's human-in-the-loop feature can pause the workflow for manual approval before any major database changes occur.

Setup guide

Set up Donately 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 Donately 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: "donately-mcp-client",
  servers: {
    "donately-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Donately 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 Donately. 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 Donately MCP in Mastra AI

Mastra AI features built-in exponential backoff. If a query like `get_campaign_performance_summary` fails due to rate limits, the framework automatically retries the MCP Server tool call.

Yes, you can configure the agent to pause when invoking tools like `get_donor_profile`. Mastra AI holds the execution until an admin reviews the donor data before proceeding with the workflow.

You register `search_donations_by_email` as a tool within your Mastra AI agent. The workflow then passes the email from incoming support tickets directly to the tool to retrieve the matching transaction history.

The agent calls `get_donately_account_metadata` during the initialization step of your workflow. This allows your Mastra AI system to check API limits before running high-volume batch operations.

No data is stored locally. Vinkius runs the MCP Server in a zero-trust, ephemeral sandbox, ensuring that sensitive donation details and donor profiles are only processed in memory during active Mastra AI workflow steps.

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