Good Grants MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 7 tools to Create New Application, Get Application Details, List Account Users, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Good Grants through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Good Grants app connector for Vercel AI SDK is a standout in the Erp Operations category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Good Grants, 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 Good Grants MCP Server
Connect your Good Grants account to any AI agent and simplify how you coordinate your grant programs, track applicant data, and monitor the review process through natural conversation.
The Vercel AI SDK gives every Good Grants tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- Application Oversight — List all grant applications and retrieve detailed metadata, status, and custom field values.
- Review & Scoring — List and query application reviews and scores to monitor the evaluation progress.
- Fund Management — List available grant funds and programs to coordinate your funding distribution.
- User & Applicant CRM — Manage your directory of users and team members registered in the system.
- Categorization — List and query grant categories to organize your programs and maintain a structured database.
- Operational Automation — Create new grant applications programmatically and verify configurations via AI commands.
- Real-time Status — Check the progress of individual applications and verify reviewer assignments directly from the agent.
The Good Grants MCP Server exposes 7 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.
All 7 Good Grants tools available for Vercel AI SDK
When Vercel AI SDK connects to Good Grants through Vinkius, your AI agent gets direct access to every tool listed below — spanning grant-management, application-tracking, workflow-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Register a new application
Get details for a specific application
List account users
List reviews
List Good Grants applications
List grant categories
List grant funds
Connect Good Grants to Vercel AI SDK via MCP
Follow these steps to wire Good Grants into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Good Grants MCP Server
Vercel AI SDK provides unique advantages when paired with Good Grants 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 Good Grants integration everywhere
Built-in streaming UI primitives let you display Good Grants 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
Good Grants + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Good Grants MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Good Grants in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Good Grants tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Good Grants capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Good Grants through natural language queries
Example Prompts for Good Grants in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Good Grants immediately.
"List all active grant applications in my account."
"Show me the reviews and scores for application 'app_10293'."
"Create a new application titled 'Youth Tech Workshop' in the 'Education' category."
Troubleshooting Good Grants MCP Server with Vercel AI SDK
Common issues when connecting Good Grants to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGood Grants + Vercel AI SDK FAQ
Common questions about integrating Good Grants 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.