Jina AI
About
Integrates with Jina's AI services to provide efficient handling of language and multimodal AI requests for applications requiring natural language processing and image analysis.
Details
- Author
- sheshiyer
- Repository
- Sheshiyer/jina-ai-mcp-multimodal-search
- GitHub stars
- 3
- License
- MIT License
- Categories
- Search, AI, Other, Developer Tools, Design, Community, Media, Communication, Infrastructure
Jump to
- Semantic Search: Find semantically similar documents using natural language queries
- Image Search: Search for visually similar images using image URLs
- Cross-Modal Search: Perform text-to-image or image-to-text searches
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- 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
Jina AICommand (node, npx, python, etc.)nodeArguments-
Argument 1
/path/to/jina-ai-mcp/build/index.js
Environment-
JINA_API_KEY
your_api_key_here
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
1. Clone the repository:
git clone <repository-url>
cd jina-ai-mcp
2. Install dependencies:
npm install
3. Create a .env file with your Jina AI API key:
JINA_API_KEY=your_api_key_here
4. Build the server:
npm run build
Add the following configuration to your MCP settings file:
{
"mcpServers": {
"jina-ai": {
"command": "node",
"args": [
"/path/to/jina-ai-mcp/build/index.js"
],
"env": {
"JINA_API_KEY": "your_api_key_here"
}
}
}
}
semantic_search
Perform semantic/neural search on text documents. Parameters: query (string), collection (string), limit (optional integer, defaults to 10)
image_search
Search for similar images using an image URL. Parameters: imageUrl (string), collection (string), limit (optional integer, defaults to 10)
cross_modal_search
Perform text-to-image or image-to-text search. Parameters: query (string or image URL), mode (string: 'text2image' or 'image2text'), collection (string), limit (optional integer, defaults to 10)
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"jina ai": {
"env": {
"JINA_API_KEY": "your_api_key_here"
},
"args": [
"/path/to/jina-ai-mcp/build/index.js"
],
"command": "node"
}
}
}Linux
{
"env": {
"JINA_API_KEY": "your_api_key_here"
},
"args": [
"/path/to/jina-ai-mcp/build/index.js"
],
"command": "node"
}Macos
{
"env": {
"JINA_API_KEY": "your_api_key_here"
},
"args": [
"/path/to/jina-ai-mcp/build/index.js"
],
"command": "node"
}Windows
{
"env": {
"JINA_API_KEY": "your_api_key_here"
},
"args": [
"/path/to/jina-ai-mcp/build/index.js"
],
"command": "node"
}A Model Context Protocol (MCP) server that provides seamless integration with Jina AI's neural search capabilities. This server enables semantic search, image search, and cross-modal search functionalities through a simple interface.
- Semantic Search: Find semantically similar documents using natural language queries
- Image Search: Search for visually similar images using image URLs
- Cross-Modal Search: Perform text-to-image or image-to-text searches
- Node.js 16 or higher
- A Jina AI account and API key (Get one here)
- MCP-compatible environment (e.g., Cline)
git clone <repository-url> cd jina-ai-mcp
- Create a.envfile with your Jina AI API key:
Add the following configuration to your MCP settings file:
{ "mcpServers": { "jina-ai": { "command": "node", "args": [ "/path/to/jina-ai-mcp/build/index.js" ], "env": { "JINA_API_KEY": "your_api_key_here" } } } }
Perform semantic/neural search on text documents.
use_mcp_tool({ server_name: "jina-ai", tool_name: "semantic_search", arguments: { query: "search query text", collection: "your-collection-name", limit: 10 // optional, defaults to 10 } })
Search for similar images using an image URL.
use_mcp_tool({ server_name: "jina-ai", tool_name: "image_search", arguments: { imageUrl: "https://example.com/image.jpg", collection: "your-collection-name", limit: 10 // optional, defaults to 10 } })
Perform text-to-image or image-to-text search.
use_mcp_tool({ server_name: "jina-ai", tool_name: "cross_modal_search", arguments: { query: "a beautiful sunset", // or image URL for image2text mode: "text2image", // or "image2text" collection: "your-collection-name", limit: 10 // optional, defaults to 10 } })
All search tools return results in the following format:
{ content: [ { type: "text", text: JSON.stringify({ results: [ { id: string, score: number, data: Record<string, any> } ] }, null, 2) } ] }
- Invalid API key
- Missing or invalid parameters
- API rate limits
- Network errors
- Invalid collection names
All errors are properly formatted and returned with appropriate error codes and messages.
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see theLICENSEfile for details.
- Jina AIfor their excellent neural search platform
- Model Context Protocolfor the MCP specification
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