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: ```json { "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: ```json { "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: ```bash pnpm install ``` 3. Build the project: ```bash pnpm run build ``` 4. Run in development mode: ```bash pnpm run dev ``` ### Publishing 1. Update version in package.json 2. Build the project: ```bash pnpm run build ``` 3. Publish to npm: ```bash pnpm run release ``` ## Contributing Contributions are welcome! Please feel free to submit a Pull Request. ## License MIT License - see the [LICENSE](LICENSE) file for details. ## Acknowledgments - Built on the [Model Context Protocol](https://github.com/modelcontextprotocol) - Powered by [Jina.ai Grounding API](https://jina.ai)