How to Use the DataStax Astra DB Vector MCP in Cursor

Q: How do I configure the DataStax Astra DB Vector server in Cursor?

Create an mcp.json file in your project root. Add the MCP server command or Vinkius remote URL under the mcpServers array. Enable Agent mode in the chat panel to activate the tools.

Q: Does the agent know which collections exist?

The AI client runs the listcollections command to read your namespace. It maps out the available tables before attempting any document reads or writes.

Bring DataStax Astra DB Vector directly into Cursor. Let your agent query live embeddings and inject NoSQL documents while you write code.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect DataStax Astra DB Vector MCP to Cursor

Create your Vinkius account to connect DataStax Astra DB Vector to Cursor 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 DataStax Astra DB Vector with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Test embedding queries inside Cursor

The `vector_search` tool executes ANN similarity searches directly from your editor. You ask the agent to find similar records based on a vector array. It pings the database and pulls the real JSON objects back into your coding context. This MCP Server stops you from guessing what the database will return. When writing retrieval logic, the AI client uses actual results to structure your application code. It sees the exact field names and nested arrays your real data contains.

Seed NoSQL data with this MCP Server

Creating test records happens through the `insert_document` tool. Your agent builds the JSON payload, including the `$vector` key, and pushes it to the active namespace. You do not have to open a separate database console. Reading that data back relies on `find_documents` and `find_one_document`. The editor pulls specific records to verify your inserts worked. If you make a mistake, `delete_document` wipes the bad entry clean.

Map Astra DB collections instantly

Calling `list_collections` shows the agent exactly how your database is structured. It reads the available tables before you write any connection logic. You get instant visibility into the namespace. Counting records requires the `count_documents` tool. The agent returns the exact integer size of any collection. You use this to verify pagination logic or check if a bulk import succeeded.

Setup guide

Set up DataStax Astra DB Vector MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the DataStax Astra DB Vector MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent DataStax Astra DB Vector transactions." If the MCP tools are loaded correctly, Cursor will call the DataStax Astra DB Vector tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "datastax-astra-db-vector-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 DataStax Astra DB. 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 DataStax Astra DB Vector 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 DataStax Astra DB Vector MCP in Cursor

Create an `mcp.json` file in your project root. Add the MCP server command or Vinkius remote URL under the `mcpServers` array. Enable Agent mode in the chat panel to activate the tools.

Yes. The agent uses the retrieval tools to pull live JSON records from your database. It then writes Python or TypeScript interfaces that perfectly match your actual data structures.

You just paste a vector array into the chat and ask for similar items. The editor fires the `vector_search` tool to find the closest matches. It returns the raw database objects immediately.

The AI client runs the `list_collections` command to read your namespace. It maps out the available tables before attempting any document reads or writes.

The MCP connection routes through Vinkius, which manages the authentication layer so your local machine never holds the database credentials. The ephemeral V8 Isolate Sandbox processes your NoSQL queries and raw vector arrays. Once the editor receives the payload, the sandbox terminates completely to ensure zero data retention.

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