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This repository is no longer maintained.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:
Claude Desktop with WSL Configuration
For WSL environments, add this to your Claude Desktop configuration:
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:
- Build the project:
- Run in development mode:
Publishing
- Update version in package.json
- Build the project:
- Publish to npm:
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
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remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Tools
Integrates Jina.ai's Reader API with LLMs for efficient and structured web content extraction, optimized for documentation and web content analysis.