The MCP JinaAI Search Server enables efficient web search and content retrieval optimized for LLMs using Jina.ai's API. With this server, you can:
Perform web searches using queries through Jina.ai's Search API
Retrieve clean, structured, LLM-friendly content from web pages
Control search behavior with configurable parameters (token budget, response format, caching, stream mode)
Extract content from iframes, shadow DOM, and resolve redirects
Customize content rendering based on browser locale
Gather links and images from pages with optional image captioning
Bypass cache for fresh results when needed
Benefit from seamless integration with LLM workflows through the Model Context Protocol
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This repository is no longer maintained.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:
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 a single MCP tool with configurable parameters:
search
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 queryformat
(string, optional): Response format ("json" or "text"). Defaults to "text"no_cache
(boolean, optional): Bypass cache for fresh results. Defaults to falsetoken_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
- Create a changeset:
- Version the package:
- Build and publish:
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 Search API
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.
Enables efficient web search integration with Jina.ai's Search API, offering clean, LLM-optimized content retrieval with support for various content types and configurable caching.
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