MCP JinaAI Reader Server
About
Integrates Jina.ai's Reader API with LLMs for efficient and structured web content extraction, optimized for documentation and web content analysis.
Details
- Author
- spences10
- Repository
- spences10/mcp-jinaai-reader
- GitHub stars
- 25
- Downloads
- 1
- License
- MIT License
- Categories
- Web Scraping, Other, Search, AI
Jump to
- 📚 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
Setting up with Highlight
Follow these steps to add this server as a custom Highlight plugin:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP JinaAI Reader ServerCommand (node, npx, python, etc.)nodeArguments-
Argument 1
-y -
Argument 2
mcp-jinaai-reader
Environment-
JINAAI_API_KEY
your-jinaai-api-key
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
This server requires configuration through your MCP client. Here are
examples for different environments:
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"
}
}
}
}
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"
]
}
}
}
The server requires the following environment variable:
- JINAAI_API_KEY: Your Jina.ai API key (required)
read_url
Convert any URL to LLM-friendly text using Jina.ai Reader. Parameters: url (string, required), no_cache (boolean, optional), format (string, optional), timeout (number, optional), target_selector (string, optional), wait_for_selector (string, optional), remove_selector (string, optional), with_links_summary (boolean, optional), with_images_summary (boolean, optional), with_generated_alt (boolean, optional), with_iframe (boolean, optional).
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp jinaai reader server": {
"env": {
"JINAAI_API_KEY": "your-jinaai-api-key"
},
"args": [
"-y",
"mcp-jinaai-reader"
],
"command": "node"
}
}
}Linux
{
"env": {
"JINAAI_API_KEY": "your-jinaai-api-key"
},
"args": [
"-y",
"mcp-jinaai-reader"
],
"command": "node"
}Macos
{
"env": {
"JINAAI_API_KEY": "your-jinaai-api-key"
},
"args": [
"-y",
"mcp-jinaai-reader"
],
"command": "node"
}Windows
{
"env": [],
"args": [
"bash",
"-c",
"JINAAI_API_KEY=your-jinaai-api-key npx mcp-jinaai-reader"
],
"command": "wsl.exe"
}This repository is no longer maintained.
The functionality of this tool is now available inmcp-omnisearch, which combines multiple MCP tools in one unified package.
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.
- 📚 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
This server requires configuration through your MCP client. Here are examples for different environments:
{ "mcpServers": { "jinaai-reader": { "command": "node", "args": ["-y", "mcp-jinaai-reader"], "env": { "JINAAI_API_KEY": "your-jinaai-api-key" } } } }
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" ] } } }
The server requires the following environment variable:
- JINAAI_API_KEY: Your Jina.ai API key (required)
The server implements a single MCP tool with configurable parameters:
Convert any URL to LLM-friendly text using Jina.ai Reader.
- 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
- Clone the repository
- Install dependencies:
- Update version in package.json
- Build the project:
Contributions are welcome! Please feel free to submit a Pull Request.
MIT License - see theLICENSEfile for details.
- Built on theModel Context Protocol
- Powered byJina.ai Reader API
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