> 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`. > Data Scheme (Markdown index, one page per table): https://api.datadoe.com/api/v1/spec/data-scheme.md. Full 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/Connecting Accounts: `https://www.datadoe.com/hub/docs/basics/connecting-accounts.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/Initial Loads: `https://www.datadoe.com/hub/docs/datadoe-data/initial-loads.md` > - DataDoe Data/Managing Data Tables: `https://www.datadoe.com/hub/docs/datadoe-data/managing-data-tables.md` > - DataDoe Data/Migrating from SellerBoard: `https://www.datadoe.com/hub/docs/datadoe-data/migrating-from-sellerboard.md` > - DataDoe Data/SAT migration to profit tables: `https://www.datadoe.com/hub/docs/datadoe-data/sat-migration-to-profit-tables.md` > - DataDoe Data/SQP Data: `https://www.datadoe.com/hub/docs/datadoe-data/search-query-performance.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 Data/Uploading Vendor Codes: `https://www.datadoe.com/hub/docs/datadoe-data/uploading-vendor-codes.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/Amazon Marketing Cloud: `https://www.datadoe.com/hub/docs/datadoe-features/amc.md` > - DataDoe Features/AMC query templates: `https://www.datadoe.com/hub/docs/datadoe-features/amc-query-templates.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/Plugins: `https://www.datadoe.com/hub/docs/datadoe-features/plugins.md` > - DataDoe Features/Usage Logs: `https://www.datadoe.com/hub/docs/datadoe-features/usage-logs.md` > - DataDoe Features/Webhooks: `https://www.datadoe.com/hub/docs/datadoe-features/webhooks.md` > - DataDoe Features/White label: `https://www.datadoe.com/hub/docs/datadoe-features/white-label.md` > - DataDoe MCP/Overview: `https://www.datadoe.com/hub/docs/datadoe-mcp/overview.md` > - DataDoe MCP/Using Antigravity: `https://www.datadoe.com/hub/docs/datadoe-mcp/antigravity.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 Genspark: `https://www.datadoe.com/hub/docs/datadoe-mcp/genspark.md` > - DataDoe MCP/Using Glama MCP Inspector: `https://www.datadoe.com/hub/docs/datadoe-mcp/glama.md` > - DataDoe MCP/Using Grok: `https://www.datadoe.com/hub/docs/datadoe-mcp/grok.md` > - DataDoe MCP/Using GrokBot: `https://www.datadoe.com/hub/docs/datadoe-mcp/grokbot.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 Littlebird: `https://www.datadoe.com/hub/docs/datadoe-mcp/littlebird.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/Invitation links API: `https://www.datadoe.com/hub/docs/datadoe-api/invitation-links.md` > - DataDoe API/Sellers and vendors API: `https://www.datadoe.com/hub/docs/datadoe-api/sellers-and-vendors.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. # Connect Glama to DataDoe Connect Glama to DataDoe to ask about your Amazon sales, advertising, and inventory. After you sign in, the connection is available in Glama Chat, Automations, and Gateway. You do not need a DataDoe API key. To try DataDoe tools in the browser without saving a connector, use [Glama MCP Inspector](/hub/docs/datadoe-mcp/glama). ## Before you start - You have a DataDoe account with your Amazon accounts connected. - You can sign in to [Glama](https://glama.ai). ## Step 1: Add a custom connector 1. Sign in to Glama. 2. Open custom connectors in your workspace settings. 3. Select Add custom connector. 4. Enter DataDoe as the name. 5. Paste this server address. ``` https://mcp.datadoe.com/mcp/v1 ``` 6. Leave the API key, bearer token, and custom header fields empty. 7. Save the connector. Empty credential fields tell Glama to sign in to DataDoe instead of sending a saved key. ## Step 2: Sign in to DataDoe 1. Open a chat and select DataDoe, or follow the sign-in prompt if Glama shows one when you save the connector. 2. Sign in with your DataDoe account for the Organization you want to use. 3. Finish authorization and return to Glama. ## Step 3: Ask your first question In a Glama chat, type @ and select DataDoe. Then send: ``` Use DataDoe to list my connected Amazon accounts. ``` Then ask: ``` Use DataDoe to summarize my Amazon sales and advertising spend for the last 7 days. ``` Name the Amazon account or marketplace if you manage more than one. Review each tool before you let Glama run it. Tools that perform Actions can change your Amazon data. ## If you need help If sign-in does not open, allow pop-ups and redirects for Glama and DataDoe, then open the DataDoe connector and connect again. If the connector saves but cannot sign in, check that the credential fields are empty and that the server address matches the address above. If Glama connects but returns no data, check your DataDoe Organization and Amazon connections, then ask Glama to use DataDoe explicitly. ## Helpful resources - [What are MCP connectors?](https://glama.ai/blog/2025-10-22-what-are-mcp-connectors) - [Using Glama MCP Inspector](/hub/docs/datadoe-mcp/glama) - [DataDoe MCP overview](/hub/docs/datadoe-mcp/overview) --- ## DataDoe MCP resources Check the following resources for more information: - MCP server URL: `https://mcp.datadoe.com/mcp/v1` - [Interactive Data Scheme](/hub/data-scheme) - Data Scheme JSON: https://api.datadoe.com/api/v1/spec/data-scheme - Need help? Use the [contact form](https://forms.clickup.com/9015200219/f/8cnj2ev-38615/AOYF9I35QFOXWJQXIG?type=Form&source=hub-mcp-glama-chat-docs)