mcp-jinaai-grounding

⚠️ 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This repository is no longer maintained.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

Grounding API with LLMs. This server provides efficient and

comprehensive web content grounding capabilities, optimized for

enhancing LLM responses with factual, real-time web content.

Features

• 🌐 Advanced web content grounding through Jina.ai Grounding API
• 🚀 Real-time content verification and fact-checking
• 📚 Comprehensive web content analysis
• 🔄 Clean format optimized for LLMs
• 🎯 Precise content relevance scoring
• 🏗️ Built on the Model Context Protocol

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

Environment Variables

The server requires the following environment variable:

• `JINAAI_API_KEY`: Your Jina.ai API key (required)

API

The server implements MCP tools for grounding LLM responses with web

content:

ground_content

Ground LLM responses with real-time web content using Jina.ai

Grounding.

Parameters:

• `query` (string, required): The text to ground with web content
• `no_cache` (boolean, optional): Bypass cache for fresh results.

Defaults to false

• `format` (string, optional): Response format ("json" or "text").

Defaults to "text"

• `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:

pnpm install

3. Build the project:

pnpm run build

4. Run in development mode:

pnpm run dev

Publishing

1. Update version in package.json

2. Build the project:

pnpm run build

3. Publish to npm:

pnpm run 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

• Powered by Jina.ai Grounding API