Cadmium Harvester MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cadmium Harvester 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 Cadmium Harvester, 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 Cadmium Harvester MCP Server
Connect your Cadmium Education Harvester account to any AI agent and orchestrate your event content management, speaker coordination, and presentation tracking through natural conversation.
The Vercel AI SDK gives every Cadmium Harvester 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
- Presentation Oversight — List all presentations for an event and retrieve detailed metadata, including titles, IDs, and statuses.
- Speaker Management — List all presenters and retrieve detailed profiles, including contact info and association with sessions.
- Asset Tracking — List and access files, handouts, and presentation assets associated with individual sessions.
- Event Coordination — Retrieve core event details and settings straight from your workspace.
- Content Auditing — Monitor presentation counts and update information to ensure your event schedule is accurate.
- Data Deep Dives — Get detailed data for specific presenter or presentation IDs using natural language.
The Cadmium Harvester 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.
How to Connect Cadmium Harvester to Vercel AI SDK via MCP
Follow these steps to integrate the Cadmium Harvester 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 7 tools from Cadmium Harvester and passes them to the LLM
Why Use Vercel AI SDK with the Cadmium Harvester MCP Server
Vercel AI SDK provides unique advantages when paired with Cadmium Harvester 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 Cadmium Harvester integration everywhere
Built-in streaming UI primitives let you display Cadmium Harvester 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
Cadmium Harvester + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Cadmium Harvester MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Cadmium Harvester in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Cadmium Harvester tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Cadmium Harvester capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Cadmium Harvester through natural language queries
Cadmium Harvester MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Cadmium Harvester to Vercel AI SDK via MCP:
get_account_info
Retrieve core account information
get_event_details
Retrieve core event information
get_presentation_count
Get total number of presentations
get_presenter_details
Get details of a specific presenter
list_presentation_assets
List files and assets associated with a presentation
list_presentations
List all presentations for the event
list_presenters
List all presenters/speakers for the event
Example Prompts for Cadmium Harvester in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Cadmium Harvester immediately.
"List all presentations for the current event in Cadmium."
"Show the profile for presenter with ID speaker_99283."
"List the assets associated with presentation pres_123."
Troubleshooting Cadmium Harvester MCP Server with Vercel AI SDK
Common issues when connecting Cadmium Harvester to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCadmium Harvester + Vercel AI SDK FAQ
Common questions about integrating Cadmium Harvester 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 Cadmium Harvester 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 Cadmium Harvester to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.