A
licenseNot graded
qualityD
maintenanceEnables web content retrieval and semantic search capabilities through the Jina AI API. Provides tools to fetch content from URLs and perform intelligent web searches with natural language queries.
3
MIT
Jina AI MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Jina AI MCP ServerFetch https://example.com/article and summarize the key points"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Jina AI MCP Server
A remote MCP (Model Context Protocol) server deployed on Cloudflare Workers that wraps Jina AI's APIs as MCP tools.
Tools
Tool | Jina API | Description |
| Reader API ( | Fetch any URL and return content as markdown/text/html |
| Search API ( | Web search returning titles, URLs, and snippets |
| Embeddings API ( | Generate vector embeddings for text |
| Reranker API ( | Rerank documents by relevance to a query |
| Classifier API ( | Zero-shot text classification |
Related MCP server: Jina AI Remote MCP Server
Setup
1. Install dependencies
npm install2. Set your Jina API key as a Worker secret
npx wrangler secret put JINA_API_KEYPaste your Jina API key when prompted. It will be stored encrypted and injected as env.JINA_API_KEY at runtime.
3. Deploy
npm run deployYour MCP server will be live at:
https://jina-mcp-server.<your-subdomain>.workers.dev/mcp4. Connect from an MCP client
Add the server URL to any MCP-compatible client (Claude Desktop, Cursor, Windsurf, AI Playground, MCP Inspector, etc.):
{
"mcpServers": {
"jina": {
"url": "https://jina-mcp-server.<your-subdomain>.workers.dev/mcp"
}
}
}Local development
echo 'JINA_API_KEY=your_key_here' > .dev.vars
npm run devThe server will be available at http://localhost:8787/mcp.
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues
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