Jina.ai Grounding MCP Server

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This repository is no longer maintained.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
  1. Build the project:
pnpm run build
  1. Run in development mode:
pnpm run dev

Publishing

  1. Update version in package.json
  2. Build the project:
pnpm run build
  1. 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

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A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Integrates Jina.ai's Grounding API with LLMs for real-time, fact-based web content grounding and analysis, enhancing LLM responses with precise, verified information.

  1. ⚠️ Notice
    1. Features
      1. Configuration
        1. Cline Configuration
        2. Claude Desktop with WSL Configuration
        3. Environment Variables
      2. API
        1. ground_content
      3. Development
        1. Setup
        2. Publishing
      4. Contributing
        1. License
          1. Acknowledgments

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