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Connect Haystack Deepset Cloud to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Manage and run your RAG pipelines through natural conversation.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 7 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through deepset Cloud.

  1. 01

    List files

    This capability shows all the files you have uploaded to your workspace.

  2. 02

    Get pipeline

    Get the full configuration and details for a specific pipeline.

  3. 03

    List pipelines

    Use this to see all the Haystack pipelines currently in your account.

  4. 04

    List workspaces

    This capability lists all your isolated environments for different search contexts.

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through deepset Cloud.

  1. 05

    Run pipeline

    This capability triggers a search execution on a specific pipeline to test results.

  2. 06

    Get file

    This capability retrieves metadata for a specific file.

  3. 07

    Search documents

    Perform a search across your indexed documents.

Real work

What teams actually run

01

Pipeline Testing

Run a specific retriever pipeline to verify search accuracy after a configuration change.

02

Data Verification

Check if a newly uploaded document has been correctly processed and indexed in your workspace.

03

System Auditing

Quickly list all active workspaces and pipelines to get a snapshot of your current infrastructure.

04

Contextual Debugging

Inspect file metadata to troubleshoot why certain documents aren't appearing in search results.

Automate a task

Put deepset Cloud to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

deepset Cloud works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put deepset Cloud to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

860ms average. Fast in production.

deepset Cloud is checked daily against the live service.

Daily averagePeak 1270ms
Oct 3Today
Fastest day
694ms
Slowest day
1270ms
14-day trend
Slowing+54%

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.

Connector linkhttps://edge.vinkius.com/vk_preview_Tf2g8zLZroyDlliFU39whBZWkEDykSKQVz38t3zr/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — deepset Cloud capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "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

Guided setup for Claude? Set up deepset Cloud in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work deepset Cloud owners hand off.

This MCP is designed for technical teams building and maintaining production-grade RAG systems.

  • 01

    AI/ML Teams

    They use the agent to audit pipeline configurations and test search results.

  • 02

    RAG Developers

    They connect enterprise knowledge bases to AI agents for contextual responses.

  • 03

    Product Managers

    They monitor search performance and verify if documents are indexed.

FAQ

Questions deepset Cloud owners ask.

  • 01

    How do I connect this MCP to my deepset Cloud account?

    You just need to provide your deepset Cloud API URL and your API Key during the setup process on Vinkius.

  • 02

    Which AI clients can I use with this MCP?

    You can use any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 03

    Can I run actual searches through my AI agent?

    Yes, you can trigger both dense and sparse vector searches and run specific Haystack pipelines using natural language.

  • 04

    Does this MCP host the data?

    No, this MCP connects to your existing deepset Cloud account where your data and pipelines are hosted.

  • 05

    Can I manage multiple workspaces?

    Yes, the MCP includes capabilities to list and manage your isolated workspaces.

  • 06

    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.

  • 07

    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.

  • 08

    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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