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Connect Datastax Astra Db Vector to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Query your unstructured data through natural conversation.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 7 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through DataStax Astra DB.

  1. 01

    List collections

    This capability lists every collection currently active in your Astra DB namespace.

  2. 02

    Find one document

    Use this to pull a single specific JSON document from a collection.

  3. 03

    Vector search

    This capability performs an ANN similarity search to find semantically related data within a collection.

  4. 04

    Count documents

    This capability returns the total number of documents stored in a specific collection.

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through DataStax Astra DB.

  1. 05

    Delete document

    Use this to remove a specific document from your Astra DB collection.

  2. 06

    Find documents

    This capability retrieves multiple JSON documents from a collection based on your criteria.

  3. 07

    Insert document

    This capability adds a new document to a collection, including support for $vector keys for embedding searches.

Real work

What teams actually run

01

RAG Debugging

Check why an AI agent is retrieving specific documents by inspecting the vector search results.

02

Data Inspection

Quickly verify the contents of a JSON document using conversational filters.

03

Database Maintenance

Delete outdated documents or count records to monitor collection growth.

04

Embedding Management

Insert new documents with pre-generated vector keys to update your search index.

Automate a task

Put DataStax Astra DB to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

DataStax Astra DB works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put DataStax Astra DB to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

890ms average. Fast in production.

DataStax Astra DB is checked daily against the live service.

Daily averagePeak 996ms
Oct 3Today
Fastest day
768ms
Slowest day
996ms
14-day trend
Stable+2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 7 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 DataStax Astra DB, so you can see the experience inside your AI.

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

DataStax Astra DB Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_AqDRfth2dYqeDTcgeoWzkACu9uC1WOaTh5GDBWN7/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 — DataStax Astra DB capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "datastax-astra-db-vector-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_AqDRfth2dYqeDTcgeoWzkACu9uC1WOaTh5GDBWN7/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

Guided setup for Claude? Set up DataStax Astra DB in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work DataStax Astra DB owners hand off.

This MCP is built for technical users who need to bridge the gap between raw data and AI reasoning.

  • 01

    AI Developers

    They use the MCP to pull embeddings for RAG workflows directly in their IDE.

  • 02

    Data Engineers

    They use it to quickly find and debug JSON document anomalies via chat.

  • 03

    DBAs

    They use it to manage and count records across collections without manual SQL/NoSQL commands.

FAQ

Questions DataStax Astra DB owners ask.

  • 01

    What AI clients can I use with this MCP?

    You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 02

    Do I need to write NoSQL queries?

    No. You can perform searches and document management using natural language through your AI agent.

  • 03

    Can I perform vector searches?

    Yes. The MCP includes a capability specifically for performing ANN vector similarity searches.

  • 04

    Is my data secure?

    Yes. Vinkius hosts the MCP and manages your credentials securely.

  • 05

    What kind of data does this support?

    This MCP is designed for Astra DB, supporting both standard NoSQL JSON documents and vector embeddings.

  • 06

    Can my AI agent do similarity searches across vector embeddings?

    Yes. Ask the agent to find documents related to a specific vector array in your target collection. The agent natively passes the numerical array directly into Astra DB's ANN engine, instantly returning the top semantically matched documents.

  • 07

    Does this work like standard Cassandra or is it strictly vector-only?

    Both. While it excels at vector searches, the integration fully supports standard NoSQL JSON documents. You can insert, find, count, and delete standard text documents using strict JSON filters just like regular database operations.

  • 08

    Can I switch seamlessly between different collections?

    Absolutely. Just mention the target collection by name in your prompts, and the agent adapts flawlessly. If you forget which ones exist, you can instruct it to list all available collections within your default namespace anytime.

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