> 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 and 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/Managing Data Tables: `https://www.datadoe.com/hub/docs/datadoe-data/managing-data-tables.md` > - DataDoe Data/Timezones: `https://www.datadoe.com/hub/docs/datadoe-data/orders-purchase-date-timezones.md` > - DataDoe Data/Uploading COGS: `https://www.datadoe.com/hub/docs/datadoe-data/uploading-cogs.md` > - DataDoe Features/Actions: `https://www.datadoe.com/hub/docs/datadoe-features/actions.md` > - DataDoe Features/Actions - Manage Images: `https://www.datadoe.com/hub/docs/datadoe-features/actions-manage-images.md` > - DataDoe Features/Features Overview: `https://www.datadoe.com/hub/docs/datadoe-features/overview.md` > - DataDoe Features/Files: `https://www.datadoe.com/hub/docs/datadoe-features/files.md` > - DataDoe Features/Webhooks: `https://www.datadoe.com/hub/docs/datadoe-features/webhooks.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 Agent SDK: `https://www.datadoe.com/hub/docs/datadoe-mcp/claude-agents-sdk.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 Codex Sites: `https://www.datadoe.com/hub/docs/datadoe-mcp/codex-sites.md` > - DataDoe MCP/Using CrewAI: `https://www.datadoe.com/hub/docs/datadoe-mcp/crewai.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 Gumloop: `https://www.datadoe.com/hub/docs/datadoe-mcp/gumloop.md` > - DataDoe MCP/Using Hermes Agent: `https://www.datadoe.com/hub/docs/datadoe-mcp/hermes.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 OpenAI Agents SDK: `https://www.datadoe.com/hub/docs/datadoe-mcp/openai-agents-sdk.md` > - DataDoe MCP/Using OpenClaw: `https://www.datadoe.com/hub/docs/datadoe-mcp/openclaw.md` > - DataDoe MCP/Using OpenCode: `https://www.datadoe.com/hub/docs/datadoe-mcp/opencode.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/Build with Codex: `https://www.datadoe.com/hub/docs/datadoe-api/codex.md` > - DataDoe API/How to connect to the API: `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 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 to BigQuery: `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. # What is DataDoe MCP? DataDoe MCP is a hosted MCP server that gives AI agents, assistants, and applications access to your Amazon data from Seller Central, Vendor Central, and Amazon Ads. It works with all major MCP clients, including chat apps such as ChatGPT and Claude, and development tools such as Claude Code, Cursor, and Codex. ## Why would I use DataDoe MCP? DataDoe MCP turns your Amazon Seller, Vendor, and Ads data into a live data source for AI. Instead of exporting CSVs or maintaining your own SP-API and Ads API pipelines, connect once and let your AI agent pull SKU-level sales, ads, inventory, and traffic data on demand, in natural language. Connect your Amazon accounts, add DataDoe MCP to your AI client, and create insights and apps in minutes instead of weeks. ![Claude with DataDoe](/hub-files/mcp/datadoe/overview-hero.png) ## What can I do with DataDoe MCP? Once DataDoe MCP is connected, it becomes a live data layer for your AI agent. You can use it to: - **Explore your Amazon data in plain English**: ask questions about sales, ads, traffic, inventory, and listings without writing SQL or pulling exports. - **Generate reports and reconciliations on demand**: let your AI agent build sales summaries, ad performance reviews, or settlement-vs-order reconciliations whenever you need them. - **Vibe-code custom dashboards and tools**: scaffold KPI dashboards, internal apps, or one-off analyses directly inside your IDE, with live Amazon data connected from the start. - **Automate recurring workflows**: use CrewAI, n8n, or any MCP-capable automation tool to schedule AI-generated briefings, alerts, and exports straight to Slack, email, or your file system. - **Build custom AI agents on top of Amazon data**: ship client-facing assistants, internal copilots, or agency-grade reporting bots without writing your own SP-API and Ads API integration. - **Bring Amazon into the AI tools you already use**: work with your data inside the same agent you use for code, docs, or operations, instead of context-switching between platforms. Learn more in our video demo: ![DataDoe MCP video demo](https://www.youtube.com/watch?v=9YQd7M2dMyY) ## What data can I use with DataDoe MCP? DataDoe MCP supports all data available in DataDoe. Review the tables, columns, and refresh cadences in our [interactive Data Scheme](/hub/data-scheme). ## What does it cost? DataDoe MCP is included with every DataDoe subscription. Usage counts against your monthly AI tokens (see the [Subscription & Pricing](/hub/docs/basics/subscription-pricing) page for details). ## How do I use DataDoe MCP with ChatGPT or Claude? If you're using **ChatGPT** or **Claude**, you can connect DataDoe MCP directly in your assistant. For details, see the [ChatGPT](/hub/docs/datadoe-mcp/chatgpt) and [Claude](/hub/docs/datadoe-mcp/claude) pages. ## How do I connect DataDoe MCP using other MCP clients? For other MCP clients, follow the dedicated guides: - [Using Claude Code](/hub/docs/datadoe-mcp/claude-code) - [Using Codex](/hub/docs/datadoe-mcp/codex) - [Using Cursor](/hub/docs/datadoe-mcp/cursor) - [Using Gemini CLI](/hub/docs/datadoe-mcp/gemini-cli) - [Using VS Code](/hub/docs/datadoe-mcp/vs-code) - [Using n8n](/hub/docs/datadoe-mcp/n8n) - [Using NanoClaw](/hub/docs/datadoe-mcp/nanoclaw) - [Using OpenClaw](/hub/docs/datadoe-mcp/openclaw) - [Using CrewAI](/hub/docs/datadoe-mcp/crewai) - [Using Hermes Agent](/hub/docs/datadoe-mcp/hermes) If your MCP client is not listed, add DataDoe MCP as a generic remote server: - **URL**: `https://mcp.datadoe.com/mcp/v1` - **Transport**: HTTP Streamable - **Auth header**: `datadoe-mcp-key: ` (create a key in [DataDoe MCP Integrations](https://app.datadoe.com/integrations/mcp)) ```json { "mcpServers": { "datadoe": { "url": "https://mcp.datadoe.com/mcp/v1", "headers": { "datadoe-mcp-key": "" } } } } ```