How to Use the Haystack (deepset Cloud) MCP in Cursor

Q: How do I set up Haystack (deepset Cloud) in Cursor?

Create a .cursor/mcp.json file in your project root. Define the server settings there, then enable Agent mode in the chat to start executing tools.

Inject live Haystack (deepset Cloud) data into your code using Cursor Agent mode for faster RAG development.

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Connect Haystack (deepset Cloud) MCP to Cursor

Create your Vinkius account to connect Haystack (deepset Cloud) to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Haystack (deepset Cloud) with Cursor

Ask AI about this MCP

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Claude

Perplexity

Run RAG pipelines from Cursor

Call `run_pipeline` directly from your chat to test your search logic. You see real responses instead of relying on outdated stubs or local mocks. Use `get_pipeline` to verify your configuration while you write code. It keeps your implementation aligned with your actual deepset Cloud setup.

Search indexed docs in Cursor

Use `search_documents` to find specific information in your index. The AI reads the output and writes code based on the live data returned. Keep your codebase clean by using `list_files` to verify what is currently available in your workspace. You stop guessing what data is indexed.

Organize workspaces within Cursor

Call `list_workspaces` to see your available environments. This allows you to toggle between different setups without leaving your editor. Everything is handled via your project-level `.cursor/mcp.json` file. It ensures your Haystack (deepset Cloud) connection is always ready when you enter Agent mode.

Setup guide

Set up Haystack (deepset Cloud) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Haystack (deepset Cloud) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Haystack (deepset Cloud) transactions." If the MCP tools are loaded correctly, Cursor will call the Haystack (deepset Cloud) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "haystack-deepset-cloud-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by deepset Cloud. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Haystack (deepset Cloud) MCP in Cursor

Create a `.cursor/mcp.json` file in your project root. Define the server settings there, then enable Agent mode in the chat to start executing tools.

Cursor handles these connections locally. Your document index data is passed only to your designated workspace, and you maintain control over the API tokens used.

You can define global MCP settings in your user-level configuration file. This makes the server available across every project you open in the editor.

Check the terminal output for the MCP server process. Ensure your API key is valid and that you have network access to your deepset Cloud instance.

The server only touches the specific document and pipeline data you request. It does not scan your local filesystem unless you explicitly pass a file path to a tool argument.

Use it with your favorite AI tools

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