"General information about clusters" matching MCP servers:

Provides LLMs with full PostgreSQL database access, including tools for query execution, schema management, and data export. It also features a dedicated insights system for storing business memos and supports both local stdio and remote HTTP transport.

Enables AI assistants to securely access Snowflake data warehouses through natural language, executing SQL queries and retrieving insights with support for multiple authentication methods.

Retrieves comprehensive patient information including personal details, insurance plans, and employee data through the get_patient tool. Supports Docker Compose deployment and integration with Watson Orchestrate for healthcare data access.

An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.

Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.

A general-purpose MCP server that lets AI work with multiple databases within clear boundaries.

An MCP server that enables interaction with Elasticsearch and OpenSearch clusters for searching documents and managing indices. It provides tools for cluster health monitoring, index configuration, and general API requests.

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.

Enables interaction with OpenSearch clusters, providing tools to list indices, retrieve mappings, search using query DSL, and get shard information.

A Model Context Protocol server implementation that enables natural language interactions with OpenSearch clusters, allowing users to search documents, analyze indices, and manage clusters through simple conversational commands.

An MCP server that provides access to Azure Data Explorer (ADX) clusters, allowing users to list tables, execute queries, and retrieve schema information.

Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.

An MCP server for managing OpenShift clusters and querying Amazon Redshift across multiple clusters, with secure secret and configuration persistence.

Connects AI assistants to CrateDB clusters to enable natural-language Text-to-SQL, data analysis, and documentation retrieval. It allows users to manage database operations, troubleshoot cluster issues, and query information through conversational prompts.

A Model Context Protocol server that provides natural language access to Cortex API, enabling users to query information about their system's structure and make faster decisions about services, incidents, and team responsibilities.

Enables AI assistants to interact with OpenSearch clusters for searching indices, retrieving mappings, and managing shards through the MCP protocol.

An MCP server that enables AI assistants to query Spark SQL clusters via the Thrift/HiveServer2 protocol.

An MCP server that provides detailed information about your development environment to the Cursor code editor, enabling more context-aware assistance.

A Python-based server that interacts with EPICS process variables, allowing users to retrieve PV values, set PV values, and fetch detailed information about PVs through a standardized interface.

Enables LLMs to manage PostgreSQL clusters in Kubernetes using the CloudNativePG operator. Supports creating, scaling, monitoring clusters and retrieving detailed status information through natural language commands.