Jina AI MCP Server
Click on "Install 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.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
No tool schema history has been recorded yet.
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Maintenance
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If you are the server author, to access and configure the admin panel.
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