Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Product search across online shops worldwide, plus every seller's price with a direct link.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
Authorization标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
在终端中运行这条命令
claude mcp add --transport http datawebot https://mcp.datawebot.com/mcp --header 'Authorization: your-value'运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"datawebot": {
"url": "https://mcp.datawebot.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"datawebot": {
"type": "http",
"url": "https://mcp.datawebot.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
Authorization 机密 HTTP header这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过域名 datawebot.com 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:Authorization
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.0.0)于18天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Context7, Codebase Memory, Exa
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Up-to-date docs for AI agents
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.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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.
See the privacy policy.
The examples and documentation in this repository are MIT licensed. Use of the hosted service is covered by the terms.