DonorsChoose MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect DonorsChoose through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"donorschoose": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "DonorsChoose Agent",
instructions:
"You help users interact with DonorsChoose " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with DonorsChoose?"
);
console.log(result.text);
}
main();
* 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 DonorsChoose MCP Server
Integrate DonorsChoose, the leading crowdfunding platform for public school teachers, directly into your AI workflow. Search for classroom projects across the US, filter by state, subject, or ZIP code, monitor urgent funding needs, and retrieve detailed information for educational proposals using natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and DonorsChoose tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Project Discovery — Search for classroom projects using keywords, subjects, or specific geographic locations (states and ZIP codes).
- Funding Oversight — Monitor projects that are close to their expiration or have high urgency to identify immediate support needs.
- Proposal Intelligence — Retrieve detailed information for specific classroom projects, including school details and itemized resource lists.
- Newest Opportunity Tracking — List the most recently posted classroom proposals to identify new funding opportunities across the organization.
The DonorsChoose MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect DonorsChoose to Mastra AI via MCP
Follow these steps to integrate the DonorsChoose MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from DonorsChoose via MCP
Why Use Mastra AI with the DonorsChoose MCP Server
Mastra AI provides unique advantages when paired with DonorsChoose through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add DonorsChoose without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every DonorsChoose tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
DonorsChoose + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the DonorsChoose MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query DonorsChoose, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed DonorsChoose as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query DonorsChoose on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using DonorsChoose tools alongside other MCP servers
DonorsChoose MCP Tools for Mastra AI (10)
These 10 tools become available when you connect DonorsChoose to Mastra AI via MCP:
get_classroom_project_details
Get detailed information for a specific classroom project
get_donorschoose_api_metadata
Retrieve metadata for the current API connection
list_high_poverty_needs
Identify projects from schools in high-poverty areas
list_latest_classroom_proposals
List the most recently posted classroom projects
list_projects_by_state
List classroom projects in a specific US state (e.g., NY, CA)
list_projects_by_subject
List projects filtered by subject area (e.g., Literacy, Math)
list_urgent_funding_needs
Identify projects that are close to their expiration or have high urgency
quick_regional_funding_audit
Retrieve a high-level summary of active projects in a region
search_classroom_projects
Search for DonorsChoose classroom projects using keywords
search_projects_by_zipcode
Search for classroom projects within a specific US ZIP code
Example Prompts for DonorsChoose in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with DonorsChoose immediately.
"Search for classroom projects in New York about 'Literacy'."
"Show me urgent projects near ZIP code '90210'."
"List the newest classroom proposals."
Troubleshooting DonorsChoose MCP Server with Mastra AI
Common issues when connecting DonorsChoose to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDonorsChoose + Mastra AI FAQ
Common questions about integrating DonorsChoose MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect DonorsChoose with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DonorsChoose to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.