MCP

MCP (Model Context Protocol) is an open standard for connecting AI tools to outside systems. Coupler.io runs an MCP server, so once you connect it, your AI tool can work with your data and your data flows directly — no exports, no copy-paste, no API keys to manage.

You connect once per AI tool. After that, the AI has a set of tools it can call on your behalf, listed below. You never call these yourself: you ask a question in plain language, and the AI picks the tools it needs.

Which data sets are visible

An AI tool connected over MCP sees only the data sets from data flows that have that tool as a destination. Adding Claude as a destination makes a data flow available in Claude — it does not make it available in ChatGPT. To use the same data from several tools, add each one as a destination.

The Coupler.io AI Agent is different: it runs inside Coupler.io and can see every data set in your workspace, with no destination step needed.

If your AI tool can't find a data set you expect, the usual reason is that its data flow hasn't been sent to that tool yet. Add the tool as a destination on that data flow.

What the AI can and can't do

It can read your data. Queries are read-only — the AI cannot edit, delete, or overwrite the rows Coupler.io has imported.

It can change your configuration. With the right tools available, the AI can create data flows, add sources and destinations, change a schedule, rename columns, build SQL data sets, and trigger a run. Those are real changes to your workspace, so the AI is instructed to confirm with you before making one you didn't ask for.

It sees nothing else. The AI reaches the data sets described above and nothing else — not your other accounts, not your machine.

Finding your data

Tool	What it does
list-datasets	Lists the data sets across your data flows. This is how the AI answers "what data do I have?"
search-datasets	Finds a data set by name, source, or keyword — faster than listing everything when you already know what you're after.
list-templates	Browses Coupler.io's ready-made templates, so the AI can suggest a pre-built setup instead of assembling one.

Reading and analyzing

Tool	What it does
get-schema	Reads a data set's columns — names, types, descriptions, and any business context saved on it. The AI reads this before querying, so it interprets your columns correctly.
get-data	Runs a SQL query against a data set and returns the result. This is what actually answers your question. The querying happens on Coupler.io's side, so large data sets don't have to fit into the AI's context.

Shaping and combining data

Tool	What it does
create-dataset	Builds a new SQL data set from data sets in the same data flow — a join, an aggregation, a pivot. The AI uses this when a question needs two data sets combined, since one query reads one data set at a time. See SQL based transformations.
update-dataset-query	Changes the SQL behind an existing SQL data set.
update-dataset-schema	Improves column labels and descriptions, so both you and the AI can read the data set more easily.

Building and configuring data flows

Tool	What it does
create-dataflow	Creates an empty data flow to attach a source and destination to.
create-dataflow-from-template	Creates a data flow from a template, already configured.
get-dataflow	Reports a data flow's current state — its sources, destinations, and last run.
create-dataflow-source / update-dataflow-source	Adds or changes the source data is pulled from.
create-dataflow-destination / update-dataflow-destination	Adds or changes where the data is delivered.
update-dataflow	Renames a data flow, or changes and pauses its schedule.

Connecting to services

Tool	What it does
list-credentials	Checks which services you're already authorized for, and gives you a link to connect a new one.
list-integrations	Lists the services Coupler.io supports as a source or a destination.
get-integration	Reads what a specific integration needs — its parameters and how it authenticates.
get-integration-field-options	Fills in the choices for a setting that depends on your account, such as which ad account or which spreadsheet.

Remembering and refreshing

Tool	What it does
update-dataset	Saves what the AI learned about a data set — what a metric means, which currency it's in, which rows to exclude — so the next conversation starts informed. See Dataset context.
run-dataflow	Refreshes a data flow from its source. The AI only does this when you ask.

Skills

Tool	What it does
list-skills	Checks which skills are available for your workspace.
get-skill	Loads a skill's instructions, so the AI follows a proven procedure. See Skills.

Available in

MCP powers every Coupler.io AI destination: Claude, ChatGPT, Cursor, Custom MCP, Gemini CLI, OpenClaw, and Perplexity. For how to connect a specific tool, see that tool's page under Destinations → AI.