How to Use the LanceDB (Serverless Vector DB) MCP in Claude

Q: Can I perform a similarity search with LanceDB (Serverless Vector DB) in Claude Desktop?

Yes. You simply ask your agent to run the vectorsearch tool. It handles the request and displays the results in your chat window.

Query multi-modal embeddings and manage vector tables directly inside your Claude Desktop workspace.

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Connect LanceDB (Serverless Vector DB) MCP to Claude Desktop

Create your Vinkius account to connect LanceDB (Serverless Vector DB) to Claude Desktop 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 LanceDB (Serverless Vector DB) with Claude Desktop

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Manage your vector infrastructure

Use `create_table` and `delete_table` to define your storage structures without leaving the Claude interface. You maintain total control over your schema and table lifecycle directly through the chat. Running `list_tables` lets you audit your environment instantly. It is about keeping your data organized and accessible without context switching.

Execute similarity searches with Claude Desktop

Trigger `vector_search` to pull relevant neighbors from your embeddings based on your specific requirements. The MCP Server handles the distance calculations so your agent gets the raw results immediately. This workflow bypasses manual database queries. You ask for data, and the tool returns the nearest matches for your prompt.

Dynamic data ingestion

Pipe new records into your index using `insert_rows` to keep your search results current. The tool updates the underlying ANN index on the fly. Use `get_table` whenever you need to verify your metadata or current schema mapping. It keeps your development cycle moving without manual database administration.

Setup guide

Set up LanceDB (Serverless Vector DB) MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The LanceDB (Serverless Vector DB) MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the LanceDB (Serverless Vector DB) MCP configuration

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

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under lancedb-serverless-vector-db-mcp.

json

{
  "mcpServers": {
    "lancedb-serverless-vector-db-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 LanceDB. 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 LanceDB (Serverless Vector DB) MCP in Claude Desktop

Yes. You simply ask your agent to run the `vector_search` tool. It handles the request and displays the results in your chat window.

Open your config file at the path specified in the Claude Desktop settings. Add the server details under the mcpServers key, then restart the app to see the tools.

Yes, if you use the web version of Claude. You can paste the remote server URL into the custom connector settings to start using the tools.

The server processes your requests transiently to perform the search. Your raw vector data is not stored permanently by the MCP host.

Access is restricted to your specific endpoint token. The connection uses encrypted transport to ensure your vector records remain private during the search process.

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