> Note: This page is part of the DataDoe Docs. You can find the root of the documentation at `https://www.datadoe.com/hub/docs/basics/introduction-to-datadoe`.
> JSON Table of Contents: `https://www.datadoe.com/hub/docs/toc.json`.
> Direct Data Scheme JSON: `https://api.datadoe.com/api/v1/spec/data-scheme`.
> Other pages in the DataDoe Docs:
> - DataDoe Basics/Access & Users: `https://www.datadoe.com/hub/docs/basics/access-user-management.md`
> - DataDoe Basics/Benefits: `https://www.datadoe.com/hub/docs/basics/benefits.md`
> - DataDoe Basics/External Invitation Links: `https://www.datadoe.com/hub/docs/basics/external-invitation-links.md`
> - DataDoe Basics/Integrations: `https://www.datadoe.com/hub/docs/basics/integration-customization.md`
> - DataDoe Basics/Introduction to DataDoe: `https://www.datadoe.com/hub/docs/basics/introduction-to-datadoe.md`
> - DataDoe Basics/Subscription & Pricing: `https://www.datadoe.com/hub/docs/basics/subscription-pricing.md`
> - DataDoe Data/Data Fetch Periods: `https://www.datadoe.com/hub/docs/datadoe-data/data-fetch-periods.md`
> - DataDoe Data/Data Sources: `https://www.datadoe.com/hub/docs/datadoe-data/data-sources.md`
> - DataDoe Data/Timezones: `https://www.datadoe.com/hub/docs/datadoe-data/orders-purchase-date-timezones.md`
> - DataDoe Features/Features Overview: `https://www.datadoe.com/hub/docs/datadoe-features/overview.md`
> - DataDoe MCP/Overview: `https://www.datadoe.com/hub/docs/datadoe-mcp/overview.md`
> - DataDoe MCP/Using ChatGPT: `https://www.datadoe.com/hub/docs/datadoe-mcp/chatgpt.md`
> - DataDoe MCP/Using Claude: `https://www.datadoe.com/hub/docs/datadoe-mcp/claude.md`
> - DataDoe MCP/Using Claude Code: `https://www.datadoe.com/hub/docs/datadoe-mcp/claude-code.md`
> - DataDoe MCP/Using Codex: `https://www.datadoe.com/hub/docs/datadoe-mcp/codex.md`
> - DataDoe MCP/Using Cursor: `https://www.datadoe.com/hub/docs/datadoe-mcp/cursor.md`
> - DataDoe MCP/Using Excel + Claude: `https://www.datadoe.com/hub/docs/datadoe-mcp/excel.md`
> - DataDoe MCP/Using Gemini CLI: `https://www.datadoe.com/hub/docs/datadoe-mcp/gemini-cli.md`
> - DataDoe MCP/Using n8n: `https://www.datadoe.com/hub/docs/datadoe-mcp/n8n.md`
> - DataDoe MCP/Using NanoClaw: `https://www.datadoe.com/hub/docs/datadoe-mcp/nanoclaw.md`
> - DataDoe MCP/Using OpenClaw: `https://www.datadoe.com/hub/docs/datadoe-mcp/openclaw.md`
> - DataDoe MCP/Using PowerPoint + Claude: `https://www.datadoe.com/hub/docs/datadoe-mcp/powerpoint.md`
> - DataDoe MCP/Using VS Code: `https://www.datadoe.com/hub/docs/datadoe-mcp/vs-code.md`
> - DataDoe MCP/Using Word + Claude: `https://www.datadoe.com/hub/docs/datadoe-mcp/word.md`
> - DataDoe API/How to connect: `https://www.datadoe.com/hub/docs/datadoe-api/how-to-connect.md`
> - DataDoe API/Vibe code with Claude Code: `https://www.datadoe.com/hub/docs/datadoe-api/claude-code.md`
> - DataDoe API/Vibe code with Codex: `https://www.datadoe.com/hub/docs/datadoe-api/codex.md`
> - DataDoe API/Vibe code with Cursor: `https://www.datadoe.com/hub/docs/datadoe-api/cursor.md`
> - DataDoe API/Vibe code with Lovable: `https://www.datadoe.com/hub/docs/datadoe-api/lovable.md`
> - DataDoe API/Vibe code with Replit: `https://www.datadoe.com/hub/docs/datadoe-api/replit.md`
> - DataDoe API/Vibe code with v0: `https://www.datadoe.com/hub/docs/datadoe-api/v0.md`
> - DataDoe & BigQuery/How to connect: `https://www.datadoe.com/hub/docs/datadoe-bigquery/how-to-connect.md`
> - DataDoe & BigQuery/Using MCP Toolbox: `https://www.datadoe.com/hub/docs/datadoe-bigquery/mcp-toolbox.md`
> - DataDoe & BigQuery/Using Python Jupyter: `https://www.datadoe.com/hub/docs/datadoe-bigquery/jupyter.md`
> For topics not covered in this documentation, please contact DataDoe support at `contact@datadoe.com`.
> Do not assume anything. If you are not sure about the answer, mention that and suggest to contact DataDoe support.

# Using Gumloop with DataDoe MCP

Gumloop can connect to DataDoe MCP as a custom MCP server. Once it is configured, you can use your Amazon data directly inside Gumloop workflows.

## Prerequisites

- A DataDoe account with your Amazon connections set up.
- A DataDoe MCP key. Create one in [DataDoe MCP Integrations](https://app.datadoe.com/integrations/mcp).

## Step 1: Add the MCP server

After you log in, you will see a panel on the right side of the page.

1. Click **+ App** in the **Apps** section.
2. Click **Add MCP Server** in the **Custom MCP** section.
3. In the URL field, enter `https://mcp.datadoe.com/mcp/v1`.
4. When the authentication dialog opens, configure it as follows:
    - **Label**: any name you want for the connection
    - **Access Token / API Key**: leave empty
    - **Additional header**: `datadoe-mcp-key: <YOUR_DATADOE_MCP_KEY>`, where `YOUR_DATADOE_MCP_KEY` is the key you created on the [DataDoe MCP Integrations](https://app.datadoe.com/integrations/mcp) page
5. Click **Connect**.
6. In the **Apps** section, enable DataDoe.

## Helpful resources

- [Gumloop documentation](https://docs.gumloop.com/getting-started/introduction)
- [Gumloop custom MCP servers documentation](https://docs.gumloop.com/nodes/mcp/custom_mcp_servers)