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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use LanceDB with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Manage vectorized data via LanceDB. perform similarity searches, create tables, and manage multi-modal embeddings.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 6 capabilities

The complete LanceDB capability set.

These are the exact actions your AI can choose when you ask it to work with LanceDB.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through LanceDB.

  1. 01

    Get table

    Get precise schema and metadata for a specific LanceDB table

  2. 02

    List tables

    List all vectorized tables residing in LanceDB

  3. 03

    Create table

    Provision a new LanceDB table with a strict schema

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through LanceDB.

  1. 04

    Delete table

    Irreversibly vaporize an entire LanceDB vector table

  2. 05

    Insert rows

    Data dynamically updates the underlying ANN index. Insert structured row payloads and vectors into a table

  3. 06

    Vector search

    Perform a highly-optimized KNN Vector similarity search

Observed, not estimated

838ms average. Fast in production.

LanceDB is checked daily against the live service.

Daily averagePeak 991ms
Aug 20Today
Fastest day
679ms
Slowest day
991ms
14-day trend
Slowing+13%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of LanceDB, so you can see the experience inside your AI.

It does not authenticate your account with LanceDB. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

LanceDB Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_85lSO635ajE8lXHCZKWQ7UC6VHfybBdy20nU97wm/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 — LanceDB capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "lancedb-serverless-vector-db-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_85lSO635ajE8lXHCZKWQ7UC6VHfybBdy20nU97wm/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions LanceDB owners ask.

  • 01

    Can I perform a semantic similarity search using my agent?

    Yes. Use the vector_search capability by providing the target Table name and a JSON array of floating-point numbers representing your query embedding. Your agent will return the k-nearest rows from LanceDB based on semantic similarity.

  • 02

    How do I create a new table with a specific Apache Arrow schema?

    The create_table capability allows your agent to initialize a new columnar vector table. You just need to provide the desired Table name and a valid Apache Arrow schema mapping in JSON format defining dimensions and scalar fields.

  • 03

    Can my agent insert new embeddings directly into a LanceDB table?

    Absolutely. Use the insert_rows capability to persist new data rows containing native embeddings and arbitrary JSON metadata. Your agent will handle the payload delivery, and LanceDB will automatically update its ANN index.

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