How to Use the Azure AI Search MCP in VS Code Copilot

Q: Does VS Code Copilot support listing indexes from Azure AI Search?

The listindexes tool provides a clear view of all indexes in your project. It helps developers identify which data they need to query.

Standardize your team's search tools in VS Code Copilot. Connect Azure AI Search to your repo for consistent team-wide access.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Azure AI Search MCP to VS Code Copilot

Create your Vinkius account to connect Azure AI Search to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Azure AI Search with VS Code Copilot

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Team-Wide Indexing for VS Code Copilot

Commit your configuration to `.vscode/mcp.json` so every dev on your team has the same access. Use `list_datasources` to verify where your info is coming from. It creates a single source of truth for your search tools. Everyone works with the same endpoints.

Search Documents via VS Code Copilot

Trigger `search_documents` during your PR reviews or feature work. Your agent pulls the exact data you need from your cloud indexes. It stops the back-and-forth of manually looking up record details. Everything you need is already in your chat sidebar.

Vector Relevance in VS Code Copilot

Use `vector_search` to find related items in your embedding spaces. It helps your agent understand the semantic relationship between your data points. This makes your code generation more accurate. You're working with the same context your production system sees.

Setup guide

Set up Azure AI Search MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Azure AI Search MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Azure AI Search tools listed. Try asking: "List my recent Azure AI Search transactions" and Copilot will invoke them automatically.

.vscode/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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Azure AI Search now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Azure AI Search MCP in VS Code Copilot

You configure the server in your project's .vscode/mcp.json file. Once committed, your whole team has access to the search tools.

Yes, it is designed for shared environments. Every developer gets the same tools defined in your project configuration.

The `list_indexes` tool provides a clear view of all indexes in your project. It helps developers identify which data they need to query.

We recommend using environment variables on developer machines. The server uses these to authenticate securely with your cloud service.

The server operates under your own IAM permissions. It only interacts with the indexes you explicitly permit, keeping your data within your controlled scope.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript