How to Use the DataStax Astra DB Vector MCP in Windsurf

Q: How do I connect DataStax Astra DB Vector to Windsurf?

Open your MCP settings via the Cascade UI or edit /.codeium/windsurf/mcpconfig.json. Add the Vinkius endpoint token under mcpServers and hit refresh. Cascade will automatically discover the database tools.

Give Cascade direct read/write access to your vector database right inside Windsurf.

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Connect DataStax Astra DB Vector MCP to Windsurf

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

Ask AI about this MCP

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Claude

Perplexity

Run ANN vector queries through Windsurf

Cascade takes your natural language prompt and turns it into a precise `vector_search` execution. You don't need to write the query syntax yourself. The agent checks the schema, formats the embedding search, and pulls the nearest neighbors straight into your editor context. This changes how you build RAG applications. Instead of switching tabs to query your database, you just tell the IDE to find relevant context. Cascade grabs the results and immediately uses them to write your next function.

Manage NoSQL documents via MCP Server

Handling raw database operations usually means opening a separate GUI. Now, your agent runs `insert_document` or `delete_document` based on the code you are currently writing. It can even seed test data automatically. Need to verify your indexing logic? Tell Cascade to `find_documents` or `count_documents` to confirm the records actually made it to the collection. You get instant feedback without leaving the code block.

Map your database architecture instantly

Starting a new project on an existing database is always a headache. Windsurf fixes this by running `list_collections` the second you ask about the data structure. The agent maps out the available namespaces before you even write a query. When you need a specific record, it fires off `find_one_document` to grab a sample. Cascade reads the JSON structure and types out the corresponding TypeScript interfaces for you.

Setup guide

Set up DataStax Astra DB Vector MCP in Windsurf

Prerequisites

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

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the DataStax Astra DB Vector MCP

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

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my DataStax Astra DB Vector payment history." If connected, Cascade will call the DataStax Astra DB Vector tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.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.

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Common questions about DataStax Astra DB Vector MCP in Windsurf

Open your MCP settings via the Cascade UI or edit `~/.codeium/windsurf/mcp_config.json`. Add the Vinkius endpoint token under `mcpServers` and hit refresh. Cascade will automatically discover the database tools.

You get full NoSQL and vector capabilities. The agent can execute standard document lookups, or perform approximate nearest neighbor similarity searches using pre-generated embeddings.

No. Vinkius handles the authentication layer entirely. You just provide the single endpoint token to your IDE, keeping your actual database credentials out of your local config files.

Yes. That's the main advantage of using this MCP setup. The agent can list collections, find a specific document, modify it, and insert it back into a new collection without asking for permission at every step.

Your NoSQL documents and vector embeddings remain strictly isolated. The Vinkius V8 sandbox processes the `vector_search` and `find_documents` requests ephemerally, meaning no database records are stored or cached after the transaction completes.

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