• VALIDATION
  • STRUCTURE
  • DEBUGGING
  • HUMAN

How to inspect database schemas with your AI

Connect Typesense Vector Search once. After that, your AI can look directly into your collections to check field types and vector settings.

Ask AI about this page

Short answer

How can I check my Typesense schema using AI?

Your AI uses the connector to pull live metadata from your collections. It identifies field names, types, and vector configurations so you can verify your search setup without leaving your chat interface.

Where every insight lands.

Schema inspection outcomes

The AI organizes the metadata it finds into these specific areas.

VALIDATION

Field mapping checks

The AI compares your intended search queries against the actual field names and types found in your collection. You get a clear view of whether your data matches your logic.

STRUCTURE

Collection overview

Your agent lists all available vector collections. This helps you confirm which datasets are ready for vector search.

DEBUGGING

Vector config audits

The AI inspects specific vector dimensions and distance metrics. It flags mismatches between your embedding model and your Typesense settings.

HUMAN

Manual schema updates

The AI only reads the metadata. You still need to manually run any commands to change field types or update collection settings.

The workflow

What your AI does when the request arrives.

The AI moves from broad discovery to specific detail to answer your questions.

  1. Discover collections

    The AI scans your Typesense instance to find all active vector-enabled collections.

    list_vector_collections

  2. Pull specific details

    Once it finds the right collection, the AI pulls the full schema, including field names and types.

    get_collection_details

  3. Analyze mappings

    The AI compares the retrieved field list against your natural language questions to find discrepancies.

    get_collection_details

  4. Report findings

    The AI presents a plain-English summary of the schema structure and any errors it found.

    list_vector_collections

Try it

Copy these to start.

Use these prompts to begin inspecting your data.

Starting points

These are opening lines. Swap out the collection names for your actual Typesense collection names.

Typesense Vector Search Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_bmlNohSGzzJmxN6goNUndx2uYrEvS88xXUYpe92K/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 — Typesense Vector Search capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "typesense-vector-search-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_bmlNohSGzzJmxN6goNUndx2uYrEvS88xXUYpe92K/mcp"
    }
  }
}
Copy into chat04

  • List all my vector collections so I can see what's available.

  • Show me the schema details for the 'products_v2' collection.

  • Does my 'user_profiles' collection have the correct vector field configured?

  • Check the field mappings in my 'search_index' collection and tell me if any fields are missing.

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

Start here

Connect Typesense Vector Search once, then ask.

Just enter your Typesense credentials. The connection is encrypted, and you can immediately start asking your AI about your data structures.

Connect Typesense Vector Search to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change my field types?

    No. The AI can only read the metadata using the available tools. You must perform any schema changes manually in Typesense.

  • 02

    Can the AI delete a collection?

    No. There are no tools provided to delete or modify collections. The AI is strictly for inspection and verification.

  • 03

    How does the AI know which collection to look at?

    You tell it the name in your prompt, or it uses the list of collections it finds to identify the right one.

  • 04

    Does the AI see my actual data records?

    No. The AI only accesses the schema and collection metadata, not the individual documents inside the collections.

  • 05

    Can I use this with Cursor?

    Yes, any MCP-compatible client like Cursor, Claude, or Windsurf can use this connector.

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

Connect Typesense Vector Search to Claude, Cursor, ChatGPT & more