DataStax Astra DB Vector MCP Server
Manage Astra DB collections, documents, and perform vector similarity searches via DataStax directly from your AI agent.
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What is the DataStax Astra DB MCP Server?
The DataStax Astra DB MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to DataStax Astra DB via 7 tools. Manage Astra DB collections, documents, and perform vector similarity searches via DataStax directly from your AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (7)
Tools for your AI Agents to operate DataStax Astra DB
Ask your AI agent "List the collections available in my Astra DB." and get the answer without opening a single dashboard. With 7 tools connected to real DataStax Astra DB data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
DataStax Astra DB Vector MCP Server capabilities
7 toolsCount total documents in an Astra DB collection
Delete a document from an Astra DB collection
Useful for standard NoSQL document retrieval. Find documents in an Astra DB collection
Find a single document in an Astra DB collection
The document can include a pre-generated $vector key for embedding searches. Insert a new document into an Astra DB collection
List all collections in the Astra DB namespace
Perform an ANN vector similarity search on an Astra DB collection
What the DataStax Astra DB Vector MCP Server unlocks
Connect your Astra DB instance to any AI agent and seamlessly execute complex NoSQL and vector searches through natural conversation. Built on DataStax's powerful engine, this integration gives your AI agents full contextual access to your unstructured data layer.
What you can do
- Vector Search — Perform Approximate Nearest Neighbor (ANN) similarity searches directly within your chat to find semantically related documents
- Document Management — Insert, discover, read, count, or delete exact NoSQL JSON documents across your active collections
- Collections — List and browse available tables and collections currently active in your configured Astra DB namespace
How it works
1. Subscribe to this secure MCP Server
2. Enter your Astra DB API Endpoint, Namespace, and Application Token
3. Start querying your contextual vector database naturally from Claude, Cursor, or any compatible AI client
Your AI agent becomes a brilliant database administrator capable of exploring embeddings instantly.
Who is this for?
- AI Developers — retrieve precise contextual embeddings during advanced RAG workflows without leaving the IDE
- Data Engineers — explore and debug JSON document anomalies quickly through conversational commands
- Product Teams — inspect unstructured vector data dynamically to understand AI search results behavior
- DBAs — manage and count records across collections effortlessly
Frequently asked questions about the DataStax Astra DB Vector MCP Server
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.
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.
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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Connect DataStax Astra DB Vector with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of DataStax Astra DB MCP Server
Production-grade DataStax Astra DB Vector MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.