Use Jina AI with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Power your RAG and search via Jina AI. generate embeddings, rerank documents, read URLs, and perform semantic web search.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 6 capabilities
The complete Jina AI capability set.
These are the exact actions your AI can choose when you ask it to work with Jina AI.
01-03
3 capabilities in this set.
Part of 6 available through Jina AI.
- 01
Classify texts
Perform zero-shot text classification
- 02
Segment content
Semantically segment and chunk long text content
- 03
Generate embeddings
The input must be a JSON array of strings. Generate vector embeddings from text
04-06
3 capabilities in this set.
Part of 6 available through Jina AI.
- 04
Read URL content
Excellent for grounding LLMs with live web content. Read and extract clean text from a URL
- 05
Rerank documents
Rerank search documents against a query
- 06
Search web jina
Returns context-rich structured search results, suitable for RAG pipelines. Perform a semantic web search
Observed, not estimated
823ms average. Fast in production.
Jina AI is checked daily against the live service.
- Fastest day
- 694ms
- Slowest day
- 987ms
- 14-day trend
- Slowing+5%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Jina AI, so you can see the experience inside your AI.
It does not authenticate your account with Jina AI. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Jina AI Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_wGxcPgjZXIdTEE0fANy2lSVGB9dv2CeDi7TDmWBG/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Jina AI capabilities are ready to use.
{
"mcpServers": {
"jina-ai-search-foundation-llm-grounding-mcp": {
"url": "https://edge.vinkius.com/vk_preview_wGxcPgjZXIdTEE0fANy2lSVGB9dv2CeDi7TDmWBG/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Jina AI owners ask.
- 01
How can Jina AI help my agent provide more accurate answers?
Use the read_url_content capability to give your agent access to live web data. By converting URLs into clean Markdown, your agent can 'read' the latest information from documentation or news sites, grounding its answers in up-to-date facts.
- 02
What is the difference between search and rerank?
Search (embeddings) helps you find a broad set of relevant documents quickly. Rerank takes that smaller set and uses a more powerful cross-encoder model to sort them by exact semantic matching, ensuring the absolute best context is sent to the LLM.
- 03
Can I search the web through my agent using Jina?
Absolutely. Use the search_web_jina capability to dispatch a semantic query. Your agent will return structured results including snippets and titles from top web pages, allowing it to synthesize answers from the live internet.
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