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This repository is no longer maintained.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 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
- 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
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 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
- 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