mcp-jinaai-reader

---

⚠️ Notice

This repository is no longer maintained.

The functionality of this tool is now available in mcp-omnisearch, which combines multiple MCP tools in one unified package.

Please use mcp-omnisearch instead.

---

A Model Context Protocol (MCP) server for integrating Jina.ai's Reader API with LLMs. This server provides efficient and comprehensive web content extraction capabilities, optimized for documentation and web content analysis.

Features

• 📚 Advanced web content extraction through Jina.ai Reader API
• 🚀 Fast and efficient content retrieval
• 📄 Complete text extraction with preserved structure
• 🔄 Clean format optimized for LLMs
• 🌐 Support for various content types including documentation
• 🏗️ Built on the Model Context Protocol

Configuration

This server requires configuration through your MCP client. Here are examples for different environments:

Cline Configuration

Add this to your Cline MCP settings:

{
	"mcpServers": {
		"jinaai-reader": {
			"command": "node",
			"args": ["-y", "mcp-jinaai-reader"],
			"env": {
				"JINAAI_API_KEY": "your-jinaai-api-key"
			}
		}
	}
}

Claude Desktop with WSL Configuration

For WSL environments, add this to your Claude Desktop configuration:

{
	"mcpServers": {
		"jinaai-reader": {
			"command": "wsl.exe",
			"args": [
				"bash",
				"-c",
				"JINAAI_API_KEY=your-jinaai-api-key npx mcp-jinaai-reader"
			]
		}
	}
}

Environment Variables

The server requires the following environment variable:

• JINAAI_API_KEY: Your Jina.ai API key (required)

API

The server implements a single MCP tool with configurable parameters:

read_url

Convert any URL to LLM-friendly text using Jina.ai Reader.

Parameters:

• url (string, required): URL to process
• no_cache (boolean, optional): Bypass cache for fresh results. Defaults to false
• format (string, optional): Response format ("json" or "stream"). Defaults to "json"
• timeout (number, optional): Maximum time in seconds to wait for webpage load
• target_selector (string, optional): CSS selector to focus on specific elements
• wait_for_selector (string, optional): CSS selector to wait for specific elements
• remove_selector (string, optional): CSS selector to exclude specific elements
• with_links_summary (boolean, optional): Gather all links at the end of response
• with_images_summary (boolean, optional): Gather all images at the end of response
• with_generated_alt (boolean, optional): Add alt text to images lacking captions
• with_iframe (boolean, optional): Include iframe content in response

Development

Setup

1. Clone the repository
2. Install dependencies:

npm install

1. Build the project:

npm run build

1. Run in development mode:

npm run dev

Publishing

1. Update version in package.json
2. Build the project:

npm run build

1. Publish to npm:

npm publish

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see the LICENSE file for details.

Acknowledgments

• Built on the Model Context Protocol
• Powered by Jina.ai Reader API