How to Use the DataStax Astra DB Vector MCP in VS Code Copilot

Q: How do I share the DataStax Astra DB Vector MCP Server across my team in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root. Add the server configuration there and commit it to Git. Every developer who pulls the repo gets immediate access to the tools.

Equip VS Code Copilot with direct access to your DataStax Astra DB Vector instance. Query embeddings right from your editor.

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Connect DataStax Astra DB Vector MCP to VS Code Copilot

Create your Vinkius account to connect DataStax Astra DB Vector to VS Code Copilot 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 VS Code Copilot

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Claude

Perplexity

Execute NoSQL queries in VS Code Copilot

The `find_documents` and `find_one_document` tools pull live JSON records straight into your workspace. Your agent queries the database using standard NoSQL parameters. You inspect real production or staging data without switching to a browser tab. Writing new data works through the `insert_document` tool. The client constructs the required JSON, including embedding arrays, and pushes it to your namespace. You clean up test entries using `delete_document` when you finish coding.

Run ANN searches via MCP

Finding related content requires the `vector_search` tool. You provide a target vector, and the agent executes an Approximate Nearest Neighbor query against your collection. It retrieves the closest matching documents instantly. This MCP Server feeds real similarity scores into your chat context. Your AI client uses actual database returns to build and test your retrieval logic instead of mocking vector responses.

Inspect collections and document counts

The `list_collections` tool maps out every table within your current database namespace. Your agent reads this list to understand where specific data lives. It prevents queries against non-existent tables. Checking database size happens via the `count_documents` tool. The client asks the database for a strict integer count of a collection. You verify data migrations or bulk inserts without leaving the IDE.

Setup guide

Set up DataStax Astra DB Vector MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the DataStax Astra DB Vector MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the DataStax Astra DB Vector tools listed. Try asking: "List my recent DataStax Astra DB Vector transactions" and Copilot will invoke them automatically.

.vscode/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.

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Common questions about DataStax Astra DB Vector MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root. Add the server configuration there and commit it to Git. Every developer who pulls the repo gets immediate access to the tools.

Yes. Switch your chat panel to Agent mode. The client will use the document retrieval tools to fetch live JSON records based on your natural language questions.

You ask the agent to find similar items and provide a target array. It triggers the `vector_search` command against your database. The editor displays the closest matching records in the chat.

It only writes or deletes data if you explicitly ask it to use the insert or delete tools. You control which database namespace the server connects to via your configuration variables.

Your vector arrays and JSON documents flow through an encrypted, ephemeral tunnel. Vinkius isolates the MCP Server inside a zero-trust environment that drops all state the millisecond your database returns the query results. Nothing gets saved to disk.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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