MCP Jina Ai

🚀 Jina AI MCP Server

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

• Webpage reading and content extraction
• Web search
• Fact-checking/localization

✨ Features

Tools

read_webpage

• Extract content from webpages and output it in a format suitable for LLMs.
• Support multiple output formats (default, Markdown, HTML, text, screenshot, Pageshot).
• Optional feature to include links and images.
• Ability to generate alt text for images.
• Cache control options.

search_web

• Conduct web searches 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).
• Return structured results, including titles, descriptions, and content.

fact_check

• Perform fact-checking using Jina AI's localization engine.
• Provide factuality scores and supporting evidence.
• Optional deep mode for comprehensive analysis.
• Return references, including key excerpts and their supporting/contradicting classifications.

📦 Installation

Prerequisites

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

Installation Methods

There are two ways to use this server:

Install via Smithery (Recommended)

Automatically install Jina AI for Claude Desktop through Smithery:

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

Option 1: Use NPX (Recommended)

Add the following configuration to your Claude Desktop configuration file:

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

Option 2: Local Installation

1. Clone the repository.
2. Install dependencies:

npm install

3. Build the server:

npm run build

4. Add the following configuration to your Claude Desktop configuration file:

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

Configuration File Location

On MacOS:

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

On Windows:

%APPDATA%/Claude/claude_desktop_config.json

🚀 Quick Start

After completing the above steps, ensure that the JINA_API_KEY environment variable is correctly set. Then start your Claude application and make sure the MCP server is successfully connected.

If you encounter any issues, refer to MCP Inspector for debugging.