This MCP server implementation provides integration with Astra DB, a cloud-native database service. Developed by DataStax, it offers tools for managing collections and records within Astra DB, including creating, updating, deleting, and querying data. The server is designed to enable AI agents to interact directly with Astra DB, making it useful for applications that require scalable, cloud-based data storage and retrieval capabilities.
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Highlight AIGet all collections in the active keyspace.
Inspect collection options, vector settings, and default ID configuration.
Create a collection with vector options, distance metrics (cosine, euclidean, dot_product), and auto-vectorize configurations.
Update or rename a collection.
Delete a collection.
Get an approximate count of documents in a collection.
List records with optional sorting, pagination (skip), and projection.
Get a specific record by ID.
Insert a single document.
Update a record.
Delete a record by ID.
Find records by exact field value match.
Rich querying with MongoDB-style filter operators ($and, $or, $gt, $in, $exists, etc.).
Find distinct values for a specific field in a collection.
Insert multiple documents in batch.
Update multiple documents in batch.
Delete multiple documents in batch.
Dense vector similarity search with optional metadata filters, similarity scores, and projection.
Natural language search query using Astra DB Vectorize serverless embeddings.
Hybrid search (lexical + dense vector / auto-vectorize) with server-side reranking scores.
Vector similarity search with minScore threshold and projection.
Combine dense vector similarity and text search with weighted scoring.
List all structured tables in the keyspace.
Create a typed table with column definitions and primary keys.
Add or drop columns (including vector columns).
Drop a table.
Query table rows with filters, sorting, projection, and pagination.
Insert a single row or batch of rows into a table.
Update matching rows in a table.
Delete matching rows from a table.
Create a secondary index on a table column.
Create a vector index on a table column with similarity metrics.
List all keyspaces in the database.
Create a new keyspace with optional automatic switching.
Drop a keyspace.
Switch the active working keyspace for subsequent operations.
Inspect the active keyspace name.
Discover supported embedding models and providers.
Discover supported reranking models.
Retrieve environment metadata (ID, region, status, keyspaces).
Open a browser for authentication/setup.
Assistance with MCP client installation.
