MCP For Claude Marketplace
DataStax Astra DB Vector

DataStax Astra DB Vector MCP Connector for Claude

A+

Manage Astra DB collections, documents, and perform vector similarity searches via DataStax directly from your AI agent.

7 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

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
nosqlvector-searchsimilarity-searchcassandraunstructured-datagenai-infrastructure

7 tools expose this connector's capabilities to your AI agent.

list_collections

List all collections in the Astra DB namespace

find_documents

Useful for standard NoSQL document retrieval. Find documents in an Astra DB collection

find_one_document

Find a single document in an Astra DB collection

vector_search

Perform an ANN vector similarity search on an Astra DB collection

insert_document

The document can include a pre-generated $vector key for embedding searches. Insert a new document into an Astra DB collection

delete_document

Delete a document from an Astra DB collection

count_documents

Count total documents in an Astra DB collection

See how to talk to your AI agent using DataStax Astra DB Vector.

List the collections available in my Astra DB.

Here are the collections present in your connected Astra DB namespace: `user_vectors` (active), `products` (active), and `archived_logs`. Which one would you like to inspect?

Count the documents inside the 'products' collection.

Your `products` collection currently holds exactly 1,024 active JSON documents across the cluster.

Find documents matching this filter in 'user_vectors': {"city": "San Francisco"}.

I found 3 matching documents in `user_vectors`. Here are the returned JSON blobs detailing their user properties and associated 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.

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