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Meltano MCP

Meltano MCP connects your Meltano Cloud workspaces to Claude, so you can ask about your data pipelines in plain language instead of clicking through the app.

Once it's connected you can ask things like "did last night's Salesforce load work?", "why does the HubSpot pipeline keep failing?" or "build me a pipeline that pulls GitHub issues into the warehouse" - and Claude can go and look, rather than guess.

It's a one-time setup, it uses your normal Meltano Cloud login, and it respects exactly the same permissions you already have.

What MCP actually is​

MCP stands for Model Context Protocol. It's an open standard that lets an AI assistant safely talk to a real system - in this case, Meltano Cloud.

The short version: without it, Claude can only talk about Meltano. With it, Claude can look at your workspaces, your pipelines and your run history, and act on them when you ask.

You don't need to understand the protocol to use it. You connect it once, and from then on Claude just knows about your Meltano Cloud.

Melty AI is the assistant built into Meltano Cloud - the one behind the Diagnose button and your failure alert emails. Meltano MCP is the same knowledge and the same abilities, brought to you in Claude, so you can work with Meltano from wherever you already are.

What you can ask it to do​

Everything below is something you can ask for in your own words. You never need to name a command.

See what you've got​

  • List your workspaces, and what's in them
  • List the pipelines in a workspace, with their schedules and status
  • See which connectors are set up, and how they're configured (passwords and keys are always hidden)
  • Find the git repository behind a workspace

Check how things are going​

  • See recent runs for a workspace or a single pipeline, and whether they succeeded
  • Get a straight answer on whether a pipeline is reliable - a pipeline counts as unstable if any of its last five attempts failed
  • See how many rows each recent run actually loaded into your destination
  • Read the logs for a specific run

Work out why something broke​

  • Ask why a pipeline failed, and get a plain-language explanation with suggested fixes
  • This is the same diagnosis engine as the Diagnose button in the app, so you get the same grounded answer - just in your chat

Build something new​

  • Search the Meltano connector catalogue for a source or destination
  • Check what settings a connector actually needs, before anything is configured
  • Create a workspace
  • Create a pipeline, including installing the connectors it needs along the way
  • Trigger a pipeline run
  • Publish changes you've pushed to your workspace's git repository

Look things up​

  • Search the Meltano knowledge base and read the docs behind the answer, so replies are grounded in how Meltano really works rather than invented

Get started​

Meltano MCP is a Claude custom connector. Setting it up takes a few minutes, and on Claude Team and Enterprise plans an Owner adds it once for the whole organization. See Installing Meltano MCP.

In this section​

Where to go next​

  • Agent Melty - developing pipelines in your workspace's git repository with a coding agent.
  • AI Diagnostics - the same diagnosis, either from the Diagnose button in the Meltano Cloud app, or before you've even logged in via your failure alert email.

Questions, or something in a reply that looks wrong? Email support@meltano.com or reach out through your usual support channel.

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