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LyftData Docs

Ship dependable data pipelines faster.

Welcome to the LyftData documentation hub. Whether you are standing up the platform for the first time, building production jobs, or hardening operations, these guides pair code samples with step-by-step playbooks to get you moving quickly.

Follow one connected operator path:

Six-step operator journey from install through evidence

  1. Install, sign in, and run your first job.
  2. Attach an MCP client and make a safe first read.
  3. Author and publish a workflow.
  4. Choose routing, transport, placement, replicas, and ownership.
  5. Plan, apply, and collect runtime evidence.
  6. Prove clone fan-out with exact synthetic counts.

The MCP and Deployments guides target LyftData 3.0.0-beta.5 and call out edition or evidence boundaries where they apply.

Quick start

Follow the First pipeline guide to evaluate LyftData, install the server, and run your first pipeline.

Operate & scale

Keep clusters healthy with the daily operations playbook, then dive into monitoring, backup, and scaling runbooks.

AI & MCP

Attach a verified client with the MCP quickstart, then author jobs or workflows through explicit preview and write gates.

Reference library

Deep-dive into Lua scripting, variable expansion, and other reference material when you need precise answers.

Need to orchestrate multi-job systems with workflows and the Deployment Manager? Start with Deployments Overview.

Need to understand how assistants connect safely to live LyftData environments? Start with AI and the MCP overview.

Looking for community updates and release notes? Visit the releases section for changelogs, roadmap highlights, and upgrade guidance.