datawebot MCP server

Ask your agent who sells it and for how much. datawebot finds a product in online shops around the world and returns every seller's price with a direct link, in seconds.

Server URL: https://mcp.datawebot.com/mcp (remote, streamable HTTP)
Sign-in: free, by email approval. No password, no card.
Website: datawebot.com · Docs for agents

This repository holds the public connection details, the MCP Registry entry (server.json), the Cursor plugin manifest (.cursor-plugin/plugin.json, mcp.json), agent install notes (llms-install.md) and working examples. The server itself is hosted; there is nothing to install.

What it can do today

Tool	What it returns
`search_products`	Products for sale across online shops worldwide, in local languages: title, price, original price, shop, rating, review count, image, condition, link and retrieval time. Filter by country and, optionally, by shop domains.
`get_product_offers`	For one product from a search: each seller's price, total with shipping, delivery note, seller rating and a direct link to the product page.
`discover`	Lists every tool available now, including ones added after your session started. Call it first.
`list_job_blueprints`, `submit_job`, `get_job`, `get_results`	Amazon search-result and product-page extraction Jobs. In preview and opening to all accounts soon.

Results are best-effort snapshots with the time they were retrieved. They are not verified or guaranteed-current prices. datawebot does not store price history, run scheduled checks or send alerts; your agent or script keeps whatever it needs. Shopify store extraction is temporarily unavailable and coming back.

There is a free daily allowance per account. Each response reports what is left.

Connect

Claude (claude.ai and Claude desktop)

Settings → Connectors → Add custom connector → URL https://mcp.datawebot.com/mcp → Connect, then approve the email from datawebot.

ChatGPT

Add a custom MCP server with the URL https://mcp.datawebot.com/mcp and OAuth authentication (needs a plan and workspace that allow custom MCP servers).

Claude Code

claude mcp add --transport http datawebot https://mcp.datawebot.com/mcp

Or tell any coding agent with a shell: set up https://mcp.datawebot.com/setup.md. It reads the file, asks for your email and saves the key itself, so no key is pasted into a chat.

Cursor

Click Add to Cursor at the top of this page, or paste this link into your browser:

cursor://anysphere.cursor-deeplink/mcp/install?name=datawebot&config=eyJ1cmwiOiJodHRwczovL21jcC5kYXRhd2Vib3QuY29tL21jcCJ9

This repository is also a Cursor plugin (.cursor-plugin/plugin.json and mcp.json). Or add it by hand to ~/.cursor/mcp.json or .cursor/mcp.json:

{
  "mcpServers": {
    "datawebot": { "url": "https://mcp.datawebot.com/mcp" }
  }
}

VS Code

Click Install in VS Code at the top of this page, or add it to .vscode/mcp.json:

{
  "servers": {
    "datawebot": { "type": "http", "url": "https://mcp.datawebot.com/mcp" }
  }
}

Cline

MCP Servers → Remote Servers: Server Name datawebot, Server URL https://mcp.datawebot.com/mcp, Transport Type Streamable HTTP → Add Server, then click Authenticate on the server and approve the email from datawebot. To edit the settings file instead, use "type": "streamableHttp" (without it Cline uses legacy SSE):

{
  "mcpServers": {
    "datawebot": { "type": "streamableHttp", "url": "https://mcp.datawebot.com/mcp" }
  }
}

Agents that install servers for you (such as Cline) can follow llms-install.md.

Scripts, n8n and agent frameworks (API key)

Tools that can't do the email sign-in use an API key. Sign in at datawebot.com/dashboard → API keys, create a key (30 days, 90 days or 1 year) and send it as a header:

Authorization: Bearer <your API key>

Any client that can call a remote MCP server with a header works, for example n8n's MCP Client tool, LangChain's langchain-mcp-adapters, the OpenAI Agents SDK, the Vercel AI SDK and CrewAI. Keep the key in an environment variable or your tool's credential store, never in code.

Examples

examples/python-price-tracker: a basket price tracker in plain Python (standard library only) that stores dated rows in SQLite and reports changes. It was run against the live server on 18 Oct 2026; the walkthrough is in Build a price tracker with an AI agent.

Support

Email [email protected] or open an issue in this repository.

Privacy

See the privacy policy.

License

The examples and documentation in this repository are MIT licensed. Use of the hosted service is covered by the terms.

datawebot MCP server