H2O.ai MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect H2O.ai 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: {
"h2oai": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "H2O.ai Agent",
instructions:
"You help users interact with H2O.ai " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with H2O.ai?"
);
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 H2O.ai MCP Server
Connect your H2O.ai instance to any AI agent and take full control of your machine learning lifecycle, automated data processing, and cluster monitoring through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and H2O.ai tool infrastructure. Connect 6 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
- Data Frame Orchestration — List structured datasets securely loaded into H2O clusters and retrieve specific dimensional data mapping explicit frame columns natively
- Model Inventory Auditing — Iterate through tracked machine learning models previously generated inside your cloud instance to verify performance metrics and versions
- Inference Monitoring — Access detailed configuration blocks for active model architectures to verify deployment boundaries and parameters synchronously
- Training Job Oversight — Query timeline nodes tracking long-running tasks and model training jobs queued on the cluster to monitor execution progress
- Cloud Cluster Auditing — Ping root endpoints defining hardware architecture health and memory utilization within your H2O instances flawlessly
- MLOps Command Center — Verify available frames and models to orchestrate complex data science workflows and model evaluations using natural language
- Status Verification — Identify precise executing statuses of ongoing jobs to ensure your AI pipeline is operational and within resource limits securely
The H2O.ai MCP Server exposes 6 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 H2O.ai to Mastra AI via MCP
Follow these steps to integrate the H2O.ai 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 6 tools from H2O.ai via MCP
Why Use Mastra AI with the H2O.ai MCP Server
Mastra AI provides unique advantages when paired with H2O.ai through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add H2O.ai 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 H2O.ai 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
H2O.ai + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the H2O.ai MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query H2O.ai, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed H2O.ai as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query H2O.ai on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using H2O.ai tools alongside other MCP servers
H2O.ai MCP Tools for Mastra AI (6)
These 6 tools become available when you connect H2O.ai to Mastra AI via MCP:
cloud_status
Get cloud status
get_frame
Get frame
get_model
Get model
list_frames
List frames
list_jobs
List jobs
list_models
List models
Example Prompts for H2O.ai in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with H2O.ai immediately.
"List all machine learning models in my H2O cluster"
"What is the current status of the H2O cloud cluster?"
"Show me the last 3 training jobs"
Troubleshooting H2O.ai MCP Server with Mastra AI
Common issues when connecting H2O.ai to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpH2O.ai + Mastra AI FAQ
Common questions about integrating H2O.ai 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 H2O.ai 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 H2O.ai to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.