4. Ask your AI agent: *"Show my top 10 ASINs by revenue last month across all Amazon marketplaces."*
If you already use Datadoe MCP, the datadoe mcp mcp server is the piece that lets your assistant work with it directly. 4. Ask your AI agent: "Show my top 10 ASINs by revenue last month across all Amazon marketplaces.".
DataDoe MCP gives your AI agent two layers over your Amazon account:
Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
sellers_and_vendors_list — Accountorganization_and_subscription_details_get — Accountexports_sources_get — Dataexports_create — Dataexports_get — Dataexports_raw_url_get — Dataexports_raw_download — Dataexports_delete — Datafiles_create — Filesfiles_list — Filesfiles_get — Filesfiles_download_url_get — FilesConfiguration is passed through the environment: YOUR_DATADOE_MCP_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Plenty of cloud and infrastructure servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Datadoe MCP's toolset — sellers_and_vendors_list, organization_and_subscription_details_get, exports_sources_get and 11 more — is a fair guide to whether it matches your workflow. It is maintained by deltologic; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| sellers_and_vendors_list | Account |
| organization_and_subscription_details_get | Account |
| exports_sources_get | Data |
| exports_create | Data |
| exports_get | Data |
| exports_raw_url_get | Data |
| exports_raw_download | Data |
| exports_delete | Data |
| files_create | Files |
| files_list | Files |
| files_get | Files |
| files_download_url_get | Files |
| files_delete | Files |
| datadoe_user_docs_table_of_contents_get | Docs |
{
"mcpServers": {
"datadoe": {
"url": "https://mcp.datadoe.com/mcp/v1",
"headers": {
"datadoe-mcp-key": "<YOUR_DATADOE_MCP_KEY>"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| YOUR_DATADOE_MCP_KEY | Credential the server authenticates with. | Yes |
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.
AWS Labs' official server suite — current AWS docs, CDK guidance, cost analysis and service tools.
Cloud browsers for AI agents — automation sessions that run in Browserbase's fleet, not on your machine.
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.