> For the complete documentation index, see [llms.txt](https://docs.coupler.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.coupler.io/destinations/readme.md).

# Coupler.io Destinations

Coupler.io supports a range of destinations where you can send your data — from spreadsheets and databases to BI tools and AI assistants. Set up automated data flows from 400+ sources into the destination that fits your workflow.

Moreover, Coupler.io supports multiple destinations within a data flow. For example, you can automate data load from Google Analytics to Google Sheets, your Data Studio dashboard, and Claude, within a single data flow.

{% hint style="info" %}
Data sent to your destination remains, even if the data flow changes or is deleted.
{% endhint %}

## AI integrations

* [**ChatGPT**](/destinations/categories/ai/chatgpt.md) — Make your business data available to ChatGPT for analysis and Q\&A.
* [**Claude**](/destinations/categories/ai/claude.md) — Send data to Claude for AI-powered analysis and insights.
* [**Cursor**](/destinations/categories/ai/cursor.md) — Provide data context to Cursor for AI-assisted development workflows.
* [**Custom MCP**](/destinations/categories/ai/custom_mcp.md) — Connect to any MCP-compatible AI tool using a custom server configuration.
* [**Gemini CLI**](/destinations/categories/ai/gemini.md) — Make data accessible to Gemini CLI for command-line AI analysis.
* [**OpenClaw**](/destinations/categories/ai/openclaw.md) — Send data to OpenClaw for open-source AI tool integration.
* [**Perplexity**](/destinations/categories/ai/perplexity.md) — Provide data to Perplexity for AI-powered research and answers.

## Dashboards

* [**Data Studio**](/destinations/categories/dashboards/data_studio.md) — Connect data to Data Studio dashboards via BigQuery or Google Sheets.
* [**monday.com**](/destinations/categories/dashboards/monday_com.md) — Push data into monday.com boards for project tracking and collaboration.
* [**Power BI**](/destinations/categories/dashboards/power_bi.md) — Feed data into Power BI datasets for interactive reports and dashboards.

## Spreadsheets

* [**CSV**](/destinations/categories/spreadsheets/csv.md) — Export data as CSV files for universal compatibility.
* [**Google Sheets**](/destinations/categories/spreadsheets/google_sheets.md) — Build reports, dashboards, and automated backups in the most popular cloud spreadsheet.
* [**Microsoft Excel Online**](/destinations/categories/spreadsheets/microsoft_excel.md) — Send data to Excel workbooks stored in OneDrive or SharePoint.
* [**Microsoft Excel Desktop**](/destinations/categories/spreadsheets/microsoft_excel_desktop.md) — Export data to local Excel files via the Coupler.io desktop agent.

## Data warehouses

* [**BigQuery**](/destinations/categories/database/big_query.md) — Load data into Google BigQuery for large-scale analytics and SQL queries.
* [**PostgreSQL**](/destinations/categories/database/postgresql.md) — Write data directly to PostgreSQL tables for application or analytics use.
* [**Redshift**](/destinations/categories/database/redshift.md) — Send data to Amazon Redshift for cloud data warehousing.
* [**Snowflake**](/destinations/categories/database/snowflake.md) — Load data into Snowflake for scalable, multi-cloud analytics.

## API

* [**JSON**](/destinations/categories/api/json.md) — Export data in JSON format for developer workflows and API integrations.

{% hint style="info" %}
Can't find what you're looking for? Reach out to our support team at <contact@coupler.io>.
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.coupler.io/destinations/readme.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
