DonorsChoose MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect DonorsChoose through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using DonorsChoose, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every DonorsChoose tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the DonorsChoose MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from DonorsChoose and passes them to the LLM
Why Use Vercel AI SDK with the DonorsChoose MCP Server
Vercel AI SDK provides unique advantages when paired with DonorsChoose through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same DonorsChoose integration everywhere
Built-in streaming UI primitives let you display DonorsChoose tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
DonorsChoose + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the DonorsChoose MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query DonorsChoose in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate DonorsChoose tools and return structured JSON responses to any frontend
Chatbots with tool use: embed DonorsChoose capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with DonorsChoose through natural language queries
DonorsChoose MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect DonorsChoose to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting DonorsChoose to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDonorsChoose + Vercel AI SDK FAQ
Common questions about integrating DonorsChoose MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.