Jina AI
Integrates Jina AI Search Foundation APIs to provide web page content extraction and search capabilities. It supports automatic pagination, result caching, and both standard and VIP search endpoints for enhanced information retrieval.
What is Jina AI?
Jina AI is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to integrates jina ai search foundation apis to provide web page content extraction and search capabilities. it supports automatic pagination, result caching, and both standard and vip search endpoints f...
Integrates Jina AI Search Foundation APIs to provide web page content extraction and search capabilities. It supports automatic pagination, result caching, and both standard and VIP search endpoints for enhanced information retrieval.
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Integrates Jina AI Search Foundation APIs to provide web pag
Use Cases
Maintainer
Works with
Installation
NPM
npx -y jina-mcp-toolsManual Installation
npx -y jina-mcp-toolsConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Jina AI
Jina AI MCP Tools connects your AI assistant to the Jina AI Search Foundation APIs, giving it the ability to extract full web page content and perform web searches with automatic pagination and LRU caching. It exposes a jina_reader tool for reading URLs (including GitHub files) and jina_search tools for querying the web — either via the standard endpoint or the higher-rate VIP endpoint. Developers and researchers use it to give Claude or other MCP clients reliable, paginated access to live web content without building their own scraping infrastructure.
Prerequisites
- Node.js 18 or later installed
- An MCP client such as Claude Desktop or Claude Code
- A Jina AI API key from https://jina.ai/?sui=apikey (optional but required for search features)
- Network access to jina.ai endpoints
Obtain a Jina AI API key
Visit https://jina.ai/?sui=apikey and sign up for a free account to get your JINA_API_KEY. The key is optional for basic web reading but is required to use jina_search or jina_search_vip.
Run the server via npx
You can start the server directly with npx — no global install needed. Pass your API key as an environment variable.
JINA_API_KEY=your_key_here npx jina-mcp-toolsConfigure Claude Desktop
Add the server to your Claude Desktop configuration file (claude_desktop_config.json) so it starts automatically when Claude launches.
{
"mcpServers": {
"jina": {
"command": "npx",
"args": ["-y", "jina-mcp-tools"],
"env": {
"JINA_API_KEY": "your_key_here"
}
}
}
}Optional: run in HTTP mode
For team deployments or when connecting from Claude Code, you can run jina-mcp-tools as an HTTP server and point your MCP client at the endpoint URL.
JINA_API_KEY=your_key npx jina-mcp-tools --transport http --port 3000Tune pagination and cache settings
Control how many tokens per page are returned and how many URLs are cached. Defaults are 15000 tokens per page and 50 cached URLs.
JINA_API_KEY=your_key npx jina-mcp-tools --tokens-per-page 8000 --cache-size 100Jina AI Examples
Client configuration
Full Claude Desktop JSON config for jina-mcp-tools with API key and VIP search endpoint.
{
"mcpServers": {
"jina": {
"command": "npx",
"args": ["-y", "jina-mcp-tools", "--search-endpoint", "vip"],
"env": {
"JINA_API_KEY": "your_key_here"
}
}
}
}Prompts to try
Sample prompts that exercise the jina_reader and jina_search tools.
- "Read the content of https://en.wikipedia.org/wiki/Model_context_protocol and summarize it"
- "Search the web for 'LLM context window benchmarks 2025' and list the top findings"
- "Fetch all pages from https://docs.example.com/api and give me a summary of each section"
- "Search for recent news about Jina AI embeddings and cite your sources"Troubleshooting Jina AI
jina_search returns an error saying an API key is required
The search tools require a valid JINA_API_KEY. Make sure the env var is set in your MCP config or shell before launching the server.
Large pages are truncated or cut off
Use the page parameter in jina_reader to retrieve subsequent pages, or increase --tokens-per-page when starting the server to fit more content per request.
Requests fail behind a corporate proxy
Set HTTP_PROXY or HTTPS_PROXY environment variables to your proxy URL; jina-mcp-tools reads these automatically.
Frequently Asked Questions about Jina AI
What is Jina AI?
Jina AI is a Model Context Protocol (MCP) server that integrates jina ai search foundation apis to provide web page content extraction and search capabilities. it supports automatic pagination, result caching, and both standard and vip search endpoints for enhanced information retrieval. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Jina AI?
Install via npm with the command: npx -y jina-mcp-tools. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Jina AI?
Jina AI works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Jina AI free to use?
Yes, Jina AI is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
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