Use deepset Cloud with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Build and manage AI-powered search and RAG pipelines via deepset Cloud. search documents, run pipelines, and manage workspaces.
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 · 7 capabilities
The complete deepset Cloud capability set.
These are the exact actions your AI can choose when you ask it to work with deepset Cloud.
01-04
4 capabilities in this set.
Part of 7 available through deepset Cloud.
- 01
List workspaces
List workspaces
- 02
List pipelines
List pipelines
- 03
Get file
Get file metadata
- 04
Get pipeline
Get pipeline details
05-07
3 capabilities in this set.
Part of 7 available through deepset Cloud.
- 05
Run pipeline
Run a pipeline search
- 06
Search documents
Search documents in index
- 07
List files
List uploaded files
Observed, not estimated
878ms average. Fast in production.
deepset Cloud is checked daily against the live service.
- Fastest day
- 675ms
- Slowest day
- 1045ms
- 14-day trend
- Slowing+16%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 7 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 deepset Cloud, so you can see the experience inside your AI.
It does not authenticate your account with deepset Cloud. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
deepset Cloud Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_Tf2g8zLZroyDlliFU39whBZWkEDykSKQVz38t3zr/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 — deepset Cloud capabilities are ready to use.
{
"mcpServers": {
"haystack-deepset-cloud-mcp": {
"url": "https://edge.vinkius.com/vk_preview_Tf2g8zLZroyDlliFU39whBZWkEDykSKQVz38t3zr/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 deepset Cloud owners ask.
- 01
Can I test my RAG pipelines directly via my AI agent?
Yes. Use the run_pipeline capability to dispatch a query to any registered pipeline in your workspace. Your agent will return the response from the NLP topology, allowing you to verify retriever performance and LLM grounding without leaving your workspace.
- 02
How can I audit my document indexing status?
Ask your agent to list files in your workspace. You can then get specific metadata for any file to ensure embeddings and attributes are correctly attached. This is essential for debugging retrieval issues in production environments.
- 03
Is it possible to manage multiple deepset Cloud workspaces?
Absolutely. The agent provides high-level workspace listing, allowing you to navigate across tenant boundaries and isolation zones easily. You just need to provide the workspace name to any pipeline or search command.
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