H2O.ai MCP Server for VS Code Copilot 6 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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{
"mcpServers": {
"h2oai": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
GitHub Copilot Agent mode brings H2O.ai data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 6 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
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 VS Code Copilot 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 VS Code Copilot via MCP
Follow these steps to integrate the H2O.ai MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using H2O.ai
Ask Copilot: "Using H2O.ai, help me...". 6 tools available
Why Use VS Code Copilot with the H2O.ai MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with H2O.ai through the Model Context Protocol.
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
H2O.ai + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the H2O.ai MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
H2O.ai MCP Tools for VS Code Copilot (6)
These 6 tools become available when you connect H2O.ai to VS Code Copilot 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 VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot
Common issues when connecting H2O.ai to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
H2O.ai + VS Code Copilot FAQ
Common questions about integrating H2O.ai MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.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 VS Code Copilot
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.