datawebot MCP server
OfficialProvides Amazon search-result and product-page extraction Jobs, allowing agents to extract product data from Amazon search results and product pages (currently in preview and opening to all accounts soon).
Provides Shopify store extraction to retrieve product data from Shopify stores (temporarily unavailable and coming back).
This server has a remotely hosted endpoint. Open its connector listing for connection details, authentication requirements, and setup instructions:
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 |
| Lists every tool available now, including ones added after your session started. Call it first. |
| Products for sale across online stores around the world, from Amazon and Walmart to brand stores, in local languages: title, price, original price, shop, rating, review count, image, condition, link and retrieval time. Filter by country and, optionally, by shop. |
| One product's details by URL or |
| Collects an answer that was still working when first asked. |
| Extraction Jobs on a store's exact endpoints: search, catalogue, category and product pages. |
| Price a store before you spend, and see the credits left. |
Searches, product reads and Jobs are paid in credits. New accounts start with 200 free credits, and more can be bought on the dashboard. Failed or empty requests are free.
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.
Call get_account for the credits left.
Related MCP server: BopMarket MCP Server
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-mcpOn Claude Code versions before 2.1.275, add the marketplace first, then install:
/plugin marketplace add datawebot/datawebot-mcp
/plugin install datawebot@datawebotThen 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/mcpOr 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-mcpThe 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=eyJ1cmwiOiJodHRwczovL21jcC5kYXRhd2Vib3QuY29tL21jcCJ9This 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=eyJ1cmwiOiJodHRwczovL21jcC5kYXRhd2Vib3QuY29tL21jcCJ9It 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 hello@datawebot.com 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.
This server cannot be deployed
Maintenance
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