Jina.ai Grounding MCP Server
mcp-jinaai-grounding
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.
<a href="https://glama.ai/mcp/servers/urkuhet67l"> <img width="380" height="200" src="https://glama.ai/mcp/servers/urkuhet67l/badge" /> </a>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:
Claude Desktop with WSL Configuration
For WSL environments, add this to your Claude Desktop configuration:
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 contentno_cache
(boolean, optional): Bypass cache for fresh results. Defaults to falseformat
(string, optional): Response format ("json" or "text"). Defaults to "text"token_budget
(number, optional): Maximum number of tokens for this requestbrowser_locale
(string, optional): Browser locale for rendering contentstream
(boolean, optional): Enable stream mode for large pages. Defaults to falsegather_links
(boolean, optional): Gather all links at the end of response. Defaults to falsegather_images
(boolean, optional): Gather all images at the end of response. Defaults to falseimage_caption
(boolean, optional): Caption images in the content. Defaults to falseenable_iframe
(boolean, optional): Extract content from iframes. Defaults to falseenable_shadow_dom
(boolean, optional): Extract content from shadow DOM. Defaults to falseresolve_redirects
(boolean, optional): Follow redirect chains to final URL. Defaults to true
Development
Setup
- Clone the repository
- Install dependencies:
- Build the project:
- Run in development mode:
Publishing
- Update version in package.json
- Build the project:
- Publish to npm:
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
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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.