这是一个MCP服务器，通过Claude提供访问Jina AI强大Web服务的权限。该服务器实现了三个主要工具：

• 网页阅读与内容提取
• 网络搜索
• 事实核查/基础

特色

工具

read_webpage

• 从网页中提取内容，格式为适合大型语言模型（LLM）优化
• 支持多种输出格式（默认、Markdown、HTML、文本、截图、页面快照）
• 包含链接和图片的选项
• 能够生成图片的替代文本
• 缓存控制选项

search_web

• 使用 Jina AI 的搜索 API 进行网页搜索
• 可配置结果数量（默认：5）
• 支持图像保留和替代文本生成
• 多种返回格式（markdown、文本、html）
• 返回带有标题、描述和内容的结构化结果

fact_check

• 使用 Jina AI 接地引擎的事实核查陈述
• 提供事实性评分及支持证据
• 可选深度分析模式，以实现更深入的分析
• 返回带有关键引用和支持/矛盾分类的参考文献

布置

先决条件

你需要一个Jina AI API密钥才能使用这个服务器。免费获取一个，地址是https://jina.ai/

安装

Jina AI MCP Server

An MCP server that provides access to Jina AI’s powerful web services through Claude. This server implements three main tools:

• Web page reading and content extraction
• Web search
• Fact checking/grounding

Features

Tools

read_webpage

• Extract content from web pages in a format optimized for LLMs
• Supports multiple output formats (Default, Markdown, HTML, Text, Screenshot, Pageshot)
• Options for including links and images
• Ability to generate alt text for images
• Cache control options

search_web

• Search the web using Jina AI’s search API
• Configurable number of results (default: 5)
• Support for image retention and alt text generation
• Multiple return formats (markdown, text, html)
• Returns structured results with titles, descriptions, and content

fact_check

• Fact-check statements using Jina AI’s grounding engine
• Provides factuality scores and supporting evidence
• Optional deep-dive mode for more thorough analysis
• Returns references with key quotes and supportive/contradictory classification

Setup

Prerequisites

You’ll need a Jina AI API key to use this server. Get one for free at https://jina.ai/

Installation

There are two ways to use this server:

Installing via Smithery

To install Jina AI for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install jina-ai-mcp-server --client claude

Option 1: NPX (Recommended)

Add this configuration to your Claude Desktop config file:

{
  "mcpServers": {
    "jina-ai-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "jina-ai-mcp-server"
      ],
      "env": {
        "JINA_API_KEY": ""
      }
    }
  }
}

Option 2: Local Installation

1. Clone the repository
2. Install dependencies:

npm install

3. Build the server:

npm run build

4. Add this configuration to your Claude Desktop config:

{
  "mcpServers": {
    "jina-ai-mcp-server": {
      "command": "node",
      "args": [
        "/path/to/jina-ai-mcp-server/dist/index.js"
      ],
      "env": {
        "JINA_API_KEY": ""
      }
    }
  }
}

Config File Location

On MacOS:

~/Library/Application Support/Claude/claude_desktop_config.json

On Windows:

%APPDATA%/Claude/claude_desktop_config.json

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector: