MCP JinaAI Search Server
About
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.
Details
- Author
- spences10
- Repository
- spences10/mcp-jinaai-search
- GitHub stars
- 4
- Downloads
- 1
- License
- MIT License
- Categories
- Search, AI, Knowledge Base, Other
Jump to
- 🔍 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
Setting up with Highlight
Follow these steps to add this server as a custom Highlight plugin:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP JinaAI Search ServerCommand (node, npx, python, etc.)nodeArguments-
Argument 1
-y -
Argument 2
mcp-jinaai-search
Environment-
JINAAI_API_KEY
your-jinaai-api-key
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
This server requires configuration through your MCP client. Here are
examples for different environments:
Add this to your Cline MCP settings:
{
"mcpServers": {
"jinaai-search": {
"command": "node",
"args": ["-y", "mcp-jinaai-search"],
"env": {
"JINAAI_API_KEY": "your-jinaai-api-key"
}
}
}
}
For WSL environments, add this to your Claude Desktop configuration:
{
"mcpServers": {
"jinaai-search": {
"command": "wsl.exe",
"args": [
"bash",
"-c",
"JINAAI_API_KEY=your-jinaai-api-key npx mcp-jinaai-search"
]
}
}
}
The server requires the following environment variable:
- JINAAI_API_KEY: Your Jina.ai API key (required)
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), format (string, optional), no_cache (boolean, optional), token_budget (number, optional), browser_locale (string, optional), stream (boolean, optional), gather_links (boolean, optional), gather_images (boolean, optional), image_caption (boolean, optional), enable_iframe (boolean, optional), enable_shadow_dom (boolean, optional), resolve_redirects (boolean, optional)
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp jinaai search server": {
"env": {
"JINAAI_API_KEY": "your-jinaai-api-key"
},
"args": [
"-y",
"mcp-jinaai-search"
],
"command": "node"
}
}
}Linux
{
"env": {
"JINAAI_API_KEY": "your-jinaai-api-key"
},
"args": [
"-y",
"mcp-jinaai-search"
],
"command": "node"
}Macos
{
"env": {
"JINAAI_API_KEY": "your-jinaai-api-key"
},
"args": [
"-y",
"mcp-jinaai-search"
],
"command": "node"
}Windows
{
"env": [],
"args": [
"bash",
"-c",
"JINAAI_API_KEY=your-jinaai-api-key npx mcp-jinaai-search"
],
"command": "wsl.exe"
}This repository is no longer maintained.
The functionality of this tool is now available inmcp-omnisearch, which combines multiple MCP tools in one unified package.
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.
- 🔍 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
This server requires configuration through your MCP client. Here are examples for different environments:
{ "mcpServers": { "jinaai-search": { "command": "node", "args": ["-y", "mcp-jinaai-search"], "env": { "JINAAI_API_KEY": "your-jinaai-api-key" } } } }
For WSL environments, add this to your Claude Desktop configuration:
{ "mcpServers": { "jinaai-search": { "command": "wsl.exe", "args": [ "bash", "-c", "JINAAI_API_KEY=your-jinaai-api-key npx mcp-jinaai-search" ] } } }
The server requires the following environment variable:
- JINAAI_API_KEY: Your Jina.ai API key (required)
The server implements a single MCP tool with configurable parameters:
Search the web and get clean, LLM-friendly content using Jina.ai Reader. Returns top 5 results with URLs and clean content.
- query(string, required): Search query
- format(string, optional): Response format ("json" or "text"). Defaults to "text"
- no_cache(boolean, optional): Bypass cache for fresh results. Defaults to false
- 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
- Clone the repository
- Install dependencies:
Contributions are welcome! Please feel free to submit a Pull Request.
MIT License - see theLICENSEfile for details.
- Built on theModel Context Protocol
- Powered byJina.ai Search API
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