How to Use the Azure AI Search MCP in Cursor

Q: Can I use Azure AI Search and Cursor to debug my queries?

You can run getindex to see your current configuration. It helps you verify your settings without leaving the editor.

Q: Does Cursor support vector searching with Azure AI Search?

The vectorsearch tool is built specifically for this. It allows your agent to perform similarity lookups during your coding sessions.

Inject live index data into your code with Cursor. Build features using real Azure AI Search results in your agent chat.

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Connect Azure AI Search MCP to Cursor

Create your Vinkius account to connect Azure AI Search 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 Azure AI Search with Cursor

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Direct Index Access for Cursor

Call `search_documents` while you code to pull live records into your context. You get real data, not placeholders, right in your editor. This keeps your implementation grounded in reality. You'll see the actual structure of your search results as you write your functions.

Vector-Based Context for Cursor

Use `vector_search` to pull relevant chunks from your embedding spaces. Your agent uses these results to generate code that actually matches your search logic. It removes the guesswork from your development process. You can test your query logic against real vectors without leaving the IDE.

Manage Indexers from Cursor

Run `list_indexers` to track your background tasks and scheduled jobs. It tells you if your syncs are running or if they need attention. You avoid context switching by checking your status directly in the editor. It makes managing your search infrastructure a part of your standard workflow.

Setup guide

Set up Azure AI Search 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 Azure AI Search 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 Azure AI Search transactions." If the MCP tools are loaded correctly, Cursor will call the Azure AI Search tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "azure-ai-search-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Azure AI Search. 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 Azure AI Search MCP in Cursor

Yes, you add the server to your .cursor/mcp.json file. This lets the agent invoke search tools as it builds your code.

You can run `get_index` to see your current configuration. It helps you verify your settings without leaving the editor.

The `vector_search` tool is built specifically for this. It allows your agent to perform similarity lookups during your coding sessions.

They live in your local environment file. Cursor only uses them to authenticate the connection to your specific cloud instance.

All communication happens over encrypted HTTPS. No raw index data is ever cached or persisted by the server process itself.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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