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mcp-jinaai-search

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JinaAI Search

3 stars JavaScriptOthers Updated Sep 10, 2025

Documentation

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This repository is no longer maintained.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

Configuration

This server requires configuration through your MCP client. Here are

examples for different environments:

Cline Configuration

Add this to your Cline MCP settings:

json
{
	"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:

json
{
	"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)

API

The server implements a single MCP tool with configurable parameters:

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

1. Clone the repository

2. Install dependencies:

bash
pnpm install

3. Build the project:

bash
pnpm run build

4. Run in development mode:

bash
pnpm run dev

Publishing

1. Create a changeset:

bash
pnpm changeset

2. Version the package:

bash
pnpm version

3. Build and publish:

bash
pnpm release

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

Frequently asked questions

What is mcp-jinaai-search?

mcp-jinaai-search is JinaAI Search

How do I install mcp-jinaai-search?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is mcp-jinaai-search open source?

Yes — it is hosted on GitHub at https://github.com/spences10/mcp-jinaai-search and has 3 stars.

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