ML Lab

v1.0.0Data Science & MLstable

Transforms AI assistants into a full ML engineering environment for training and fine-tuning models across multiple backends (local GPU, Mistral, Together AI, OpenAI) and cloud providers (Lambda Labs, RunPod, SSH-accessible VPS), with dataset managem

ml-lab-mcpmcpai-integration
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What is ML Lab?

ML Lab is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to transforms ai assistants into a full ml engineering environment for training and fine-tuning models across multiple backends (local gpu, mistral, together ai, openai) and cloud providers (lambda labs,...

Transforms AI assistants into a full ML engineering environment for training and fine-tuning models across multiple backends (local GPU, Mistral, Together AI, OpenAI) and cloud providers (Lambda Labs, RunPod, SSH-accessible VPS), with dataset managem

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Transforms AI assistants into a full ML engineering environm

Use Cases

Train and fine-tune ML models
Multiple backend support
PushPullCommitPush

Maintainer

LicensePolyForm Noncommercial License 1.0.0
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx ml-lab-mcp

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about ML Lab

What is ML Lab?

ML Lab is a Model Context Protocol (MCP) server that transforms ai assistants into a full ml engineering environment for training and fine-tuning models across multiple backends (local gpu, mistral, together ai, openai) and cloud providers (lambda labs, runpod, ssh-accessible vps), with dataset managem It connects AI assistants to external tools and data sources through a standardized interface.

How do I install ML Lab?

Follow the installation instructions on the ML Lab GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with ML Lab?

ML Lab works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is ML Lab free to use?

Yes, ML Lab is open source and available under the PolyForm Noncommercial License 1.0.0 license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "ml-lab-mcp": { "command": "npx", "args": ["-y", "ml-lab-mcp"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use ML Lab?

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