How to Use the Azure AI Search MCP in Claude Code

Q: Does Claude Code support vector similarity searches on Azure AI Search?

Yes, the CLI uses the vectorsearch tool to execute high-dimensional queries. Claude Code processes the vector outputs directly in your terminal window.

Run Azure AI Search queries, inspect indexers, and audit configurations straight from your terminal with Claude Code.

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Connect Azure AI Search MCP to Claude Code

Create your Vinkius account to connect Azure AI Search to Claude Code 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 Claude Code

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Monitor ingestion pipelines in Claude Code

The `list_indexers` tool fetches the execution history of your scheduled indexers, while `list_datasources` shows where they pull their source data. Claude Code runs these terminal commands to diagnose Azure AI Search sync delays or pipeline failures. You can pipe these Azure status reports directly into other CLI utilities. If an indexer fails, your Claude Code terminal agent catches the error state and spits out the exact datasource mismatch.

Query documents using this terminal MCP Server

The `search_documents` tool runs fast lexical queries, and `vector_search` executes similarity queries directly from your shell. Claude Code lets you search your Azure AI Search indices without leaving your keyboard or opening a browser. This makes testing Azure search relevancy incredibly fast. You run a quick command in Claude Code, inspect the JSON output in your terminal, and adjust your query parameters on the fly.

Export Azure AI Search schemas inside Claude Code

The `get_index` tool retrieves the configuration details of a specific index, while `list_indexes` outputs all available indexes in your subscription. Claude Code uses this MCP Server to quickly dump configurations for migrations or code generation. You can ask the Claude Code CLI to write an Azure AI Search migration script. It pulls the live search schema, maps the fields, and generates the SQL or Terraform files you need.

Setup guide

Set up Azure AI Search MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see azure-ai-search-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Azure AI Search transactions." It will automatically discover and invoke the available Azure AI Search tools.

Terminal

claude mcp add --transport http azure-ai-search-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Azure AI Search MCP

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

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "azure-ai-search-mcp": {
      "type": "url",
      "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 Claude Code

Yes, you can script Claude Code to run search tests. The CLI uses this MCP Server to verify search results as part of your terminal-based testing workflows.

You don't need to manage Azure keys locally in your shell. Run the command to add your Vinkius MCP Server transport URL, and Vinkius securely manages the Azure connection.

Yes, the CLI uses the `vector_search` tool to execute high-dimensional queries. Claude Code processes the vector outputs directly in your terminal window.

Yes, you can run a command to list them. The agent calls the `list_indexes` tool and prints a clean list of all search indexes in your subscription.

All search documents and index schemas are fetched via secure HTTPS channels. Vinkius handles the connection inside an ephemeral, zero-trust sandbox, ensuring no search payload data is cached or stored on disk.

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