• SCHEMA
  • VALIDATION
  • DATA
  • HUMAN

How to inspect search index schemas with your AI

Connect your AI to Azure Cognitive Search once. After that, your agent can pull schema details and field settings directly from your indexes.

Ask AI about this page

Short answer

Can my AI check my Azure Cognitive Search index structure?

Yes. Your AI uses the connector to list available indexes and pull specific field configurations or analyzer settings. This lets you verify if your data is indexed correctly before you run searches.

Schema insights.

Where your findings land.

The AI maps out your search configuration so you can spot missing fields or incorrect tokenizers.

SCHEMA

Index field maps

The AI uses list_indexes to find your data. You get a clear view of which fields are searchable or filterable.

VALIDATION

Tokenizer checks

Your agent inspects field settings to see how text is being broken down. This confirms your search logic matches your data.

DATA

Content availability

By running search_documents, the AI checks if the actual data matches the expected schema. You'll know if a field is empty or malformed.

HUMAN

Manual index fixes

The AI identifies schema mismatches. You'll need to go into the Azure portal to actually change the index settings or re-index data.

The workflow

What your AI does when the request arrives.

The AI moves from broad discovery to deep inspection of specific index properties.

  1. Discover indexes

    The AI scans your Azure environment to find all active search indexes. This builds a map of what's available to query.

    list_indexes

  2. Inspect field settings

    The AI pulls the full definition of a specific index. It looks at field types, analyzers, and whether fields are retrievable.

    get_index

  3. Verify data presence

    The AI runs a test query to see if the data actually exists in the fields you just inspected.

    search_documents

  4. Report mismatches

    The AI compares the index definition against your search requirements. It flags where the schema might break your queries.

    get_indexsearch_documents

Try it

Copy these to start.

Use these prompts to begin your audit.

Starting points

These are starting points. Swap out the index names for your actual Azure index names.

Azure Cognitive Search Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_hdKYLP4Ky0e0ym1FqqZkykLxQEDMxyTOrt4HuJb3/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Azure Cognitive Search capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "azure-cognitive-search-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_hdKYLP4Ky0e0ym1FqqZkykLxQEDMxyTOrt4HuJb3/mcp"
    }
  }
}
Copy into chat04

  • List all my Azure Cognitive Search indexes and tell me which ones have a 'description' field.

  • Get the schema for the 'product-catalog' index and check if the 'sku' field is filterable.

  • Check the 'customer-support' index to see if the text analyzer is set to use English stemming.

  • Run a search on the 'inventory' index to see if the 'stock_level' field is returning the correct integer values.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Azure Cognitive Search once, then ask.

You only need to provide your credentials once. Vinkius handles the connection securely, and you can immediately start asking your AI about your search data.

Connect Azure Cognitive Search to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change my index settings?

    No. The AI can only read the schema and search the data. You must use the Azure portal or API to modify indexes.

  • 02

    Can the AI delete an index?

    No. There are no tools provided to delete or drop indexes.

  • 03

    How does the AI know which indexes exist?

    It uses the list_indexes tool to fetch the names of all available indexes in your service.

  • 04

    Can the AI fix a broken tokenizer?

    No. The AI can identify that a tokenizer is causing issues, but it cannot rewrite the index configuration.

  • 05

    Can I use this to test my search queries?

    Yes. The AI can use search_documents to run queries and verify that the results match your expected schema.

  • More questions about Azure Cognitive Search? The Connector page answers them. See everything the Azure Cognitive Search Connector can do

Connect Azure Cognitive Search to Claude, Cursor, ChatGPT & more