Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Product search across online shops worldwide, plus every seller's price with a direct link.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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AuthorizationValues marked secret are keys to your account. Never share them or paste them into a chat.
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This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Run this in your terminal
claude mcp add --transport http datawebot https://mcp.datawebot.com/mcp --header 'Authorization: your-value'Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"datawebot": {
"url": "https://mcp.datawebot.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"datawebot": {
"type": "http",
"url": "https://mcp.datawebot.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Your choice stays on this device in a cookie; no account needed.
Authorization secret HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified against the domain datawebot.com (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: Authorization
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 18 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
https://mcp.datawebot.com/mcp (remote, streamable HTTP)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.
| Tool | What it returns |
|---|---|
discover | Lists every tool available now, including ones added after your session started. Call it first. |
search_products | 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. |
get_product | One product's details by URL or product_id. For a product sold by several shops: each seller's price, total with shipping, delivery note, seller rating and a direct link to the product page. |
get_results | Collects an answer that was still working when first asked. |
find_endpoints, submit_job | Extraction Jobs on a store's exact endpoints: search, catalogue, category and product pages. find_endpoints is free and lists what a store supports, with prices and page limits; submit_job runs one on one URL. |
check_site, get_account | 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.
Settings → Connectors → Add custom connector → URL https://mcp.datawebot.com/mcp → Connect, then approve the email from datawebot.
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).
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 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.
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" } } }
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" } } }
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.
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.
Add to Replit, then Test & save and approve the sign-in email from datawebot.
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.
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.
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.
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.Authorization: Bearer ; see the API key section above.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.Email hello@datawebot.com or open an issue in this repository.
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The examples and documentation in this repository are MIT licensed. Use of the hosted service is covered by the terms.