Cadmium Harvester MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Cadmium Harvester 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: {
"cadmium-harvester": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Cadmium Harvester Agent",
instructions:
"You help users interact with Cadmium Harvester " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Cadmium Harvester?"
);
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Cadmium Harvester tool infrastructure. Connect 7 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
- 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 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 Cadmium Harvester to Mastra AI via MCP
Follow these steps to integrate the Cadmium Harvester 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 7 tools from Cadmium Harvester via MCP
Why Use Mastra AI with the Cadmium Harvester MCP Server
Mastra AI provides unique advantages when paired with Cadmium Harvester through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Cadmium Harvester 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 Cadmium Harvester 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
Cadmium Harvester + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Cadmium Harvester MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Cadmium Harvester, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Cadmium Harvester as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Cadmium Harvester on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Cadmium Harvester tools alongside other MCP servers
Cadmium Harvester MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Cadmium Harvester to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Cadmium Harvester to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpCadmium Harvester + Mastra AI FAQ
Common questions about integrating Cadmium Harvester 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 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 Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.