JinaAI offers advanced web scraping tools and software for efficient extraction and parsing of web page content and data
by spences10·Updated Apr 13, 2026Fetch and extract information from websites automatically
Example: Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example: Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example: Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Interact with services that don't offer APIs
Example: Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
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We wired JinaAI into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, JinaAI benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
JinaAI is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
JinaAI is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
JinaAI is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
JinaAI is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated JinaAI against two servers with overlapping tools; this profile had the clearer scope statement.
I recommend JinaAI for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated JinaAI against two servers with overlapping tools; this profile had the clearer scope statement.
We evaluated JinaAI against two servers with overlapping tools; this profile had the clearer scope statement.
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Claude Desktop configuration
{
"mcpServers": {
"jinaai-reader": {
"command": "node",
"args": [
"-y",
"mcp-jinaai-reader"
],
"env": {
"JINAAI_API_KEY": "your-jinaai-api-key"
}
}
}
}Extracts and converts web content from URLs into clean, structured text that's optimized for LLM processing using Jina.ai's Reader API.
JinaAI is a community-built MCP server published by spences10 that provides AI assistants with tools and capabilities via the Model Context Protocol. JinaAI offers advanced web scraping tools and software for efficient extraction and parsing of web page content and data It is categorized under search web.
You can install JinaAI in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
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.
<a href="https://glama.ai/mcp/servers/a75afsx9cx"> <img width="380" height="200" src="https://glama.ai/mcp/servers/a75afsx9cx/badge" /> </a>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)The server implements a single MCP tool with configurable parameters:
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
responsenpm install
npm run build
npm run dev
npm run build
npm publish
Contributions are welcome! Please feel free to submit a Pull Request.
MIT License - see the LICENSE file for details.
Time estimate: 20-40 minutes including configuration and testing
Prerequisites
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.
Web Reader
Web Reader MCP Server — Z.AI MCP for powerful web content extraction: full-page retrieval and structured data for Claude