Set up DataHawk MCP

How to connect DataHawk MCP to AI clients like Claude, ChatGPT, n8n, Make, and more.

Setting up DataHawk MCP means adding one link, the DataHawk MCP endpoint, to your AI tool, then signing in with your DataHawk account. Once connected, your AI can answer questions about your Amazon and Walmart data. It works with chat assistants, code editors, and automation platforms.

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Not sure which to pick? Most people start with Claude or ChatGPT. They're the fastest to set up (under 2 minutes) and the best fit for everyday questions. Use a code editor or app builder if you're building apps, or n8n or Make to schedule automations.

Before you start

Check that your plan includes MCP

DataHawk MCP is in beta. It's enabled by default on active DataHawk workspaces. Not sure your plan includes it? Ask your Account Manager or email [email protected].

Copy the DataHawk MCP endpoint

You'll paste this link into your AI tool in the next section:

https://mcp.datahawk.co/mcp

Check your data sources

MCP only returns data from the accounts you've connected in DataHawk. Before you start, check that these are connected and syncing on the Sources page:

  • Amazon: your Seller Central or Vendor Central account, your Advertising account, and (optional) DSP.
  • Walmart: your Walmart Marketplace and Walmart Connect accounts.

Fix anything marked as disconnected first. Otherwise MCP returns empty results for that source. MCP doesn't cover every Walmart dataset yet: see Walmart coverage.

Connect your AI tool

Chat with your data

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For more detail, see Anthropic's custom connector guide.

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On a Claude Team or Enterprise plan, your Claude admin adds the connector for your organization.

Open your connectors

In Claude, go to Customize → Connectors.

Claude menu with the Customize option

Add a custom connector

Click Add custom connector.

Add custom connector button in Claude

Name it and paste the endpoint

Name the connector DataHawk and paste the endpoint:

https://mcp.datahawk.co/mcp
Custom connector form with the DataHawk name and endpoint filled in

Connect

Click Connect.

Connect button next to the DataHawk connector

Sign in to DataHawk

Claude sends you to DataHawk. Sign in with your DataHawk account.

DataHawk sign-in page

Approve the permissions

Approve the permissions screen. DataHawk now shows in your connectors list with a green status.

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For more detail, see OpenAI's apps in ChatGPT guide.

Open the Apps settings

In ChatGPT, click your profile, then Settings → Apps.

Open the custom MCP server option

Click Advanced settings → Custom MCP server.

Advanced settings in ChatGPT Apps, with the Custom MCP server option

Turn on developer mode

Turn on Developer mode.

Developer mode toggle in ChatGPT

Create the app

Click Create app and fill in the form:

  • Name: DataHawk
  • MCP Server URL: https://mcp.datahawk.co/mcp
Create app form in ChatGPT

Confirm

Tick I understand and want to continue, then click Create. Sign in with your DataHawk account when asked.

Check it's connected

DataHawk now shows in your enabled apps with a green status.

DataHawk listed in ChatGPT's enabled apps

Build with your data

For code editors and AI app builders, follow the tool's own MCP guide and use the DataHawk endpoint: https://mcp.datahawk.co/mcp.

Automate with your data

For workflow tools, follow the tool's own MCP guide and use the DataHawk endpoint: https://mcp.datahawk.co/mcp.

Once you're connected

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