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ReviewWebsite.com - MCP Server

@mrgoonie

代码仓库

基本信息

分类

开发工具

许可证

MIT

传输方式

stdio

作者

mrgoonie

关于 ReviewWebsite.com - MCP Server

TypeScript Model Context Protocol (MCP) server for ReviewWebsite. Includes CLI support and extensible structure for connecting AI systems (LLMs) to ReviewWeb.site API

ReviewWebsite.com - MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

ReviewWebsite.com - MCP Server 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is ReviewWebsite.com - MCP Server?

An MCP server that connects AI assistants to the ReviewWebsite.com API, enabling creation and management of website reviews, URL conversion to markdown, structured data extraction, web scraping, and SEO analysis. It is built for developers building AI-powered review and web analysis tools.

How to use ReviewWebsite.com - MCP Server?

Clone or install the package, run npm install, then configure the server using stdio or Streamable HTTP transport. Use CLI commands like npm run dev:cli -- create-review --url <url> --api-key <key> or integrate via MCP client configuration. A ReviewWebsite.com API key is required (create one at reviewweb.site/profile).

Key features of ReviewWebsite.com - MCP Server

  • Create, read, update, and delete website reviews.
  • Convert URLs to Markdown using AI models.
  • Extract structured data from URLs.
  • Scrape websites and extract content and links.
  • Summarize URLs and webpages using AI.
  • SEO insights: keyword ideas, keyword difficulty, traffic analysis, backlinks.
  • Supports stdio and Streamable HTTP transports.

Use cases of ReviewWebsite.com - MCP Server

  • Automating website review generation and management with AI.
  • Converting web pages to Markdown for content pipelines.
  • Extracting structured data (e.g., product info) from URLs.
  • Performing SEO analysis for keyword and backlink research.
  • Building AI assistants that analyze and summarize web content.

常见问题

1

What does ReviewWebsite.com - MCP Server require?

Node.js >=18.x, an API key from ReviewWebsite.com (create at reviewweb.site/profile), and optionally HTTP environment variables for the HTTP transport.

2

What transports are supported?

The server supports stdio transport (default for CLI) and Streamable HTTP transport. SSE transport is deprecated and not implemented.

3

Can I customize AI models and parameters?

Yes. You can specify models (e.g., "gpt-4o") in CLI commands and adjust AI parameters. Wait behavior and timing can also be controlled.

4

How do I set up the HTTP transport?

Configure environment variables: `MCP_HTTP_HOST` (default 127.0.0.1), `MCP_HTTP_PORT` (default 8080), and `MCP_HTTP_PATH` (default /mcp). Note that authentication via Bearer token is not yet implemented.

5

What CLI commands are available?

Commands include `get-ai-models`, `create-review`, `get-review`, `list-reviews`, `update-review`, `delete-review`, `convert-to-markdown`, `extract-data`, `scrape-url`, `extract-links`, `summarize-url`, and SEO commands (`seo-keyword-ideas`, `seo-keyword-difficulty`, `seo-traffic`, `seo-backlinks`).

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