JinaAI Search

★ 3

from spences10

Efficient web search optimized for LLM-friendly content using the Jina AI API.

🔥🔥🔥Account requiredAdvanced setup

#git #search #video-editing

mcp-jinaai-search

⚠️ 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This repository is no longer maintained.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 Search API with LLMs. This server provides efficient and comprehensive web search capabilities, optimised for retrieving clean, LLM-friendly content from the web.

Features

🔍 Advanced web search through Jina.ai Search API
🚀 Fast and efficient content retrieval
📄 Clean text extraction with preserved structure
🧠 Content optimised for LLMs
🌐 Support for various content types including documentation
🏗️ Built on the Model Context Protocol
🔄 Configurable caching for performance
🖼️ Optional image and link gathering
🌍 Localisation support through browser locale
🎯 Token budget control for response size

API

The server implements a single MCP tool with configurable parameters:

search

Search the web and get clean, LLM-friendly content using Jina.ai Reader. Returns top 5 results with URLs and clean content.

Parameters:

query (string, required): Search query
format (string, optional): Response format ("json" or "text"). Defaults to "text"
no_cache (boolean, optional): Bypass cache for fresh results. Defaults to false
token_budget (number, optional): Maximum number of tokens for this request
browser_locale (string, optional): Browser locale for rendering content
stream (boolean, optional): Enable stream mode for large pages. Defaults to false
gather_links (boolean, optional): Gather all links at the end of response. Defaults to false
gather_images (boolean, optional): Gather all images at the end of response. Defaults to false
image_caption (boolean, optional): Caption images in the content. Defaults to false
enable_iframe (boolean, optional): Extract content from iframes. Defaults to false
enable_shadow_dom (boolean, optional): Extract content from shadow DOM. Defaults to false
resolve_redirects (boolean, optional): Follow redirect chains to final URL. Defaults to true

Development

Setup

Clone the repository
Install dependencies:

pnpm install

Build the project:

pnpm run build

Run in development mode:

pnpm run dev

Publishing

Create a changeset:

pnpm changeset

Version the package:

pnpm version

Build and publish:

pnpm release

Copy & paste — that's it

{
 "mcpServers": {
 "jinaai-search": {
 "command": "wsl.exe",
 "args": [
 "bash",
 "-c",
 "JINAAI_API_KEY=your-jinaai-api-key npx mcp-jinaai-search"
 ]
 }
 }
}

Before it works, you'll need: JINAAI_API_KEY

Configuration

This server requires configuration through your MCP client. Here are examples for different environments:

Cline Configuration

Add this to your Cline MCP settings:

{
	"mcpServers": {
		"jinaai-search": {
			"command": "node",
			"args": ["-y", "mcp-jinaai-search"],
			"env": {
				"JINAAI_API_KEY": "your-jinaai-api-key"
			}
		}
	}
}

Claude Desktop with WSL Configuration

For WSL environments, add this to your Claude Desktop configuration:

{
	"mcpServers": {
		"jinaai-search": {
			"command": "wsl.exe",
			"args": [
				"bash",
				"-c",
				"JINAAI_API_KEY=your-jinaai-api-key npx mcp-jinaai-search"
			]
		}
	}
}

Environment Variables

The server requires the following environment variable:

JINAAI_API_KEY: Your Jina.ai API key (required)