MCP JinaAI Reader Server
The MCP JinaAI Reader Server converts web content into LLM-friendly text using Jina.ai's Reader API.
Extract web content: Efficiently retrieve and process web content with preserved structure and formatting.
Customize extraction: Use CSS selectors to target, exclude, or wait for specific elements.
Enhance output: Include summaries of links and images, generate alt text, and extract iframe content.
Control behavior: Set timeout limits, bypass caching for fresh results, and choose between JSON or streaming response formats.
Support various content types: Process different web content including documentation.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP JinaAI Reader Serverread the React documentation at https://react.dev/learn"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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This repository is no longer maintained.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.
Related MCP server: Jina AI MCP Server
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 processno_cache(boolean, optional): Bypass cache for fresh results. Defaults to falseformat(string, optional): Response format ("json" or "stream"). Defaults to "json"timeout(number, optional): Maximum time in seconds to wait for webpage loadtarget_selector(string, optional): CSS selector to focus on specific elementswait_for_selector(string, optional): CSS selector to wait for specific elementsremove_selector(string, optional): CSS selector to exclude specific elementswith_links_summary(boolean, optional): Gather all links at the end of responsewith_images_summary(boolean, optional): Gather all images at the end of responsewith_generated_alt(boolean, optional): Add alt text to images lacking captionswith_iframe(boolean, optional): Include iframe content in response
Development
Setup
Clone the repository
Install dependencies:
npm installBuild the project:
npm run buildRun in development mode:
npm run devPublishing
Update version in package.json
Build the project:
npm run buildPublish to npm:
npm publishContributing
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
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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