How to Use the DonorsChoose MCP in Mastra AI

Q: How do I search for DonorsChoose projects via Mastra AI workflows?

You integrate the searchclassroomprojects tool directly into your agent's toolset. It then becomes available for any step in your complex workflow.

Q: Can Mastra AI filter DonorsChoose projects by subject automatically?

Yes. Add listprojectsbysubject to your agent tools. Your workflow can then branch based on whether a project matches your specific subject criteria.

Q: Does the DonorsChoose server support state-based filtering in Mastra AI?

It does. Use listprojectsbystate to narrow down your agent's focus. This is useful for regional funding operations and localized outreach.

Build resilient classroom funding workflows in Mastra AI with automatic retries and conditional branching.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect DonorsChoose MCP to Mastra AI

Create your Vinkius account to connect DonorsChoose 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.

GDPR Free for Subscribers

Setup DonorsChoose with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automated regional monitoring

Run `quick_regional_funding_audit` within your agent workflows to track school needs. If the call fails, Mastra AI handles the retry logic automatically. This ensures your monitoring stays consistent. You can chain this with `search_projects_by_zipcode` to trigger alerts for new proposals.

Conditional project routing

Use `list_urgent_funding_needs` to decide which path your agent takes. If a project is near expiration, the agent moves to the funding step immediately. This logic handles the heavy lifting of prioritization. It keeps your operations focused on the most pressing classroom requirements.

Detailed proposal analysis

Retrieve deep project specs via `get_classroom_project_details` for your multi-step agents. This data informs every decision in your workflow. You can gate these actions with `requireToolApproval` to keep a human in the loop. It’s perfect for high-stakes funding decisions.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DonorsChoose. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect DonorsChoose now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about DonorsChoose MCP in Mastra AI

You integrate the `search_classroom_projects` tool directly into your agent's toolset. It then becomes available for any step in your complex workflow.

Yes. Add `list_projects_by_subject` to your agent tools. Your workflow can then branch based on whether a project matches your specific subject criteria.

It does. Use `list_projects_by_state` to narrow down your agent's focus. This is useful for regional funding operations and localized outreach.

Your connection details are encrypted by Vinkius. Only your authorized agent can invoke the tools, keeping your integration credentials out of the public eye.

It only touches public classroom project records and metadata. No donor-specific PII or financial account data is exposed through these tools.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python