How to Use the Azure Cognitive Search MCP in Claude

Get your Azure Cognitive Search indexes directly into Claude Desktop to run full-text and vector queries from your chat bar.

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Connect Azure Cognitive Search MCP to Claude Desktop

Create your Vinkius account to connect Azure Cognitive Search to Claude Desktop 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 Cognitive Search with Claude Desktop

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Run Hybrid Azure Searches inside Claude Desktop

`search_documents` executes direct lexical queries against your Azure indexes right from your local Claude Desktop chat window. You don't need to write custom Python scripts or curl commands just to test how your search queries behave in Claude. If you use embeddings, `vector_search` executes KNN vector searches against your Azure embedding profiles. Claude Desktop parses the returned JSON structures instantly, giving you immediate visibility into your search relevance.

Inspect Azure Cognitive Search Indexes on the Fly

`get_index` pulls configuration details for any specific Azure index without forcing you to log into the Azure Portal. You can verify schema fields or check partition sizes directly in your Claude chat sidebar. `list_skillsets` pulls the active Cognitive Services skillsets that handle your text enrichments. This lets your Claude agent analyze how data gets processed before it lands in your search index.

Track Indexer Status and Fetch Specific UUID Documents

`list_indexers` exposes the scheduled run states of your Azure data ingestion pipelines. If a search result looks stale, you check the indexer status directly inside Claude Desktop to see if a sync failed. `get_document` fetches a single raw document from Azure using its exact UUID key. You inspect the exact metadata payload without leaving your active Claude chat session.

Setup guide

Set up Azure Cognitive Search MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Azure Cognitive Search MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Azure Cognitive Search MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under azure-cognitive-search-mcp.

json

{
  "mcpServers": {
    "azure-cognitive-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 Cognitive 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 Cognitive Search MCP in Claude Desktop

You configure your API keys and endpoint URL in your local configuration file. This MCP Server establishes a direct connection from your local machine to Azure, ensuring Claude Desktop uses your existing access permissions.

Yes, the server exposes vector tools directly to the chat interface. Claude Desktop translates your natural language prompts into vector queries to run KNN searches against Azure embedding profiles.

It does. By calling skillset listing tools, Claude Desktop retrieves the enrichment pipelines running on your Azure instance, allowing you to debug how your cognitive skills transform raw text.

Look for the hammer icon in the Claude Desktop input box. Clicking it displays the active toolset, confirming that your local configuration successfully loaded the search tools.

Your raw document payloads, index schemas, and skillset configurations stay strictly between your local machine and Azure. Vinkius runs this MCP Server in an ephemeral, zero-trust sandbox, meaning no search queries or index configurations are stored on external servers.

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