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. OAuth 2.1 per the MCP authorization spec, or an API key (see Authentication).
• 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), the Claude Code plugin (.claude-plugin/, .mcp.json), the Gemini CLI extension (gemini-extension.json, GEMINI.md), an agent skill (skills/datawebot/SKILL.md), 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	Extraction Jobs for search results and product pages. Coverage: Amazon in 10 countries (amazon.com, .co.uk, .de, .fr, .it, .es, .ca, .com.au, .co.jp, .sg), Walmart US, a set of reviewed stores such as Allbirds, Ring, Arlo, ecobee and iFixit, and over 11,000 online store domains listed in the endpoint directory, most of them Shopify stores. Stores added through our automated probe are labelled "Probe-qualified; live production acceptance pending" in list_job_blueprints; check each contract's qualification and availability before you rely on it. Open to every account: new accounts start with 200 free trial credits, and more can be bought on the dashboard (packs from $10 for 10,000 credits). Call list_job_blueprints for the current list.

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.

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

Install the datawebot plugin, which adds the MCP server and the datawebot skill. In a Claude Code session:

/plugin install datawebot --marketplace datawebot/datawebot-mcp

On Claude Code versions before 2.1.275, add the marketplace first, then install:

/plugin marketplace add datawebot/datawebot-mcp
/plugin install datawebot@datawebot

Then run /mcp, choose datawebot and approve the sign-in email. To add only the MCP server, without the plugin:

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.

Gemini CLI

gemini extensions install https://github.com/datawebot/datawebot-mcp

The extension adds the MCP server, a short GEMINI.md context file and the datawebot skill. Start gemini; the server asks for sign-in on first use, or run /mcp auth datawebot and approve the email from datawebot.

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.

LM Studio

Click Add to LM Studio at the top of this page (LM Studio 0.3.17 or later), or open this link:

lmstudio://add_mcp?name=datawebot&config=eyJ1cmwiOiJodHRwczovL21jcC5kYXRhd2Vib3QuY29tL21jcCJ9

It adds {"url": "https://mcp.datawebot.com/mcp"} to LM Studio's mcp.json.

Replit

Add to Replit, then Test & save and approve the sign-in email from datawebot.

Agent skill

skills/datawebot/SKILL.md follows the Agent Skills format. It teaches an agent the datawebot workflow: search, seller offers, extraction Jobs, credits and errors. The Claude Code plugin and the Gemini CLI extension include it; for other agents that read skills, copy the skills/datawebot folder into their skills directory.

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.

Authentication

The server follows the MCP authorization spec. An unauthenticated request gets 401 with a WWW-Authenticate header pointing to the protected-resource metadata at https://mcp.datawebot.com/.well-known/oauth-protected-resource/mcp.

• OAuth 2.1 (MCP clients such as Claude, ChatGPT, Cursor, VS Code, Cline, Gemini CLI): authorization code flow with PKCE (S256), dynamic client registration and refresh tokens. Authorization server metadata: https://mcp.datawebot.com/.well-known/oauth-authorization-server. Sign-in is by email approval.
• API key (scripts, n8n, agent frameworks): send Authorization: Bearer <your API key>; see the API key section above.

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.