
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.

datastax/astra-db-mcp
A Model Context Protocol (MCP) server for interacting with Astra DB. MCP extends the capabilities of Large Language Models (LLMs) by allowing them to interact with external systems as agents.
npx -y @datastax/astra-db-mcp{
"mcpServers": {
"astra-db-mcp": {
"command": "npx",
"args": [
"-y",
"@datastax/astra-db-mcp"
],
"env": {
"ASTRA_DB_APPLICATION_TOKEN": "<ASTRA_DB_APPLICATION_TOKEN>",
"ASTRA_DB_API_ENDPOINT": "<ASTRA_DB_API_ENDPOINT>"
}
}
}
}ASTRA_DB_APPLICATION_TOKENASTRA_DB_API_ENDPOINTOPENAI_API_KEYGetCollections
Get all collections in the active keyspace
GetCollectionInfo
Inspect collection options, vector settings, and default ID configuration
CreateCollection
Create a collection with vector options, distance metrics (cosine, euclidean, dot_product), and auto-vectorize configurations
UpdateCollection
Update or rename a collection
DeleteCollection
Delete a collection
EstimateDocumentCount
Get an approximate count of documents in a collection
GetRecord
Get a specific record by ID
CreateRecord
Insert a single document
UpdateRecord
Update a record
DeleteRecord
Delete a record by ID
FindRecord
Find records by exact field value match
FindWithFilter
Rich querying with MongoDB-style filter operators ($and, $or, $gt, $in, $exists, etc.)
FindDistinctValues
Find distinct values for a specific field in a collection
BulkCreateRecords
Insert multiple documents in batch
BulkUpdateRecords
Update multiple documents in batch
BulkDeleteRecords
Delete multiple documents in batch
FindWithVector
Dense vector similarity search with optional metadata filters, similarity scores, and projection
FindWithVectorize
Natural language search query using Astra DB Vectorize serverless embeddings
FindAndRerank
Hybrid search (lexical + dense vector / auto-vectorize) with server-side reranking scores
VectorSearch
Vector similarity search with minScore threshold and projection
HybridSearch
Combine dense vector similarity and text search with weighted scoring
CreateTable
Create a typed table with column definitions and primary keys
AlterTable
Add or drop columns (including vector columns)
DropTable
Drop a table
QueryTable
Query table rows with filters, sorting, projection, and pagination
InsertTableRow
Insert a single row or batch of rows into a table
UpdateTableRow
Update matching rows in a table
DeleteTableRow
Delete matching rows from a table
CreateTableIndex
Create a secondary index on a table column
CreateTableVectorIndex
Create a vector index on a table column with similarity metrics
CreateKeyspace
Create a new keyspace with optional automatic switching
DropKeyspace
Drop a keyspace
UseKeyspace
Switch the active working keyspace for subsequent operations
GetCurrentKeyspace
Inspect the active keyspace name
ListEmbeddingProviders
Discover supported embedding models and providers
ListRerankingProviders
Discover supported reranking models
GetDatabaseInfo
Retrieve environment metadata (ID, region, status, keyspaces)
OpenBrowser
Open a browser for authentication/setup
HelpAddToClient
Assistance with MCP client installation
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.

Desktop · Freemium · Proprietary
The first agentic IDE. The Cursor editor truly merges how developers and AI work together, delivering a magical coding experience.

supabase-community/supabase-mcp
The Model Context Protocol (MCP) standardizes how Large Language Models (LLMs) talk to external services like Supabase. It connects AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data. See the full list of tools.

googleapis/genai-toolbox
MCP Toolbox for Databases is an open source Model Context Protocol (MCP) server that connects your AI agents, IDEs, and applications directly to your enterprise databases.

alexander-zuev/supabase-mcp-server
Query MCP is an open-source MCP server that lets your IDE safely run SQL, manage schema changes, call the Supabase Management API, and use Auth Admin SDK — all with built-in safety controls.

MobinX/awesome-mcp-list
This is a continuously updated curated list of MCP servers, covering categories such as browser control, arts and culture, cloud platforms, command line, communication, customer data platforms, databases, developer tools, data science tools, file systems, finance and fintech, gaming, knowledge and memory, location services, marketing, monitoring, search and utilities. Each project includes a GitHub link and star count for quick reference and use.

stuzero/pg-mcp-server
PG-MCP is a server implementation of the Model Context Protocol for PostgreSQL databases. It provides a comprehensive API for AI agents to discover, connect to, query, and understand PostgreSQL databases through MCP's resource-oriented architecture.

bytebase/dbhub
[!NOTE] If you need an enterprise-level database MCP server with built-in guardrails like approval flow, access control, data masking, and audit logging beyond what DBHub offers, check out Bytebase.