Elasticsearch

Neo4j

Unlock the potential of Neo4j graph databases with this innovative Model Context Protocol (MCP). Seamlessly interact with and leverage the power of Cypher queries, manage knowledge graph data, and craft durable memory structures using intuitive conversational interfaces.

MongoDB

Easily interact with MongoDB databases using everyday language for seamless querying and analysis.

OpenSearch

Facilitates intuitive communication with OpenSearch clusters for managing indexes, searching documents, and overseeing clusters, eliminating the need for intricate query language.

ClickHouse

Unlock the power of natural language queries and data exploration on extensive datasets by seamlessly connecting with ClickHouse. Safeguarded with read-only features, this Model Context Protocol (MCP) facilitates effortless and secure access to valuable information.

Splunk

Enhance your Splunk experience with seamless integration to streamline searches, index administration, user management, and KV store tasks using a Python-driven interface for command line and web server operations.

kubectl

Facilitates seamless communication with Kubernetes resources, empowering developers to effortlessly oversee clusters via interactive conversations, replacing the need for intricate kubectl directives.

Elasticsearch

Achieve seamless communication with Elasticsearch clusters for search, data storage, and administrative tasks using a Docker-based system, facilitating user-friendly interactions through natural language commands.

Kubernetes

Facilitates seamless communication with Kubernetes environments for querying resources and performing CRUD tasks with customizable authorization settings.

Jira

Enhance your project management experience with seamless integration of Jira for intuitive natural language queries and efficient data handling.

Elasticsearch

Enhance your system with seamless integration to Elasticsearch for cluster monitoring, index schema retrieval, alias administration, and precise document querying through Elasticsearch's powerful query DSL capabilities.

Elasticsearch

Facilitates seamless communication with Elasticsearch databases, allowing for intuitive search operations and index administration with no need for intricate query language or deep API understanding.

Elasticsearch

Enhance your AI-powered applications with enhanced search functionality, data access, and analytical tools by seamlessly connecting to Elasticsearch through the Model Context Protocol (MCP). Unlock advanced search features and streamline data analysis for optimized performance.

OpenSearch

Effortlessly connect to OpenSearch databases for seamless querying, log analysis, document retrieval, and structured data retrieval within the conversation interface without interruption.

MongoDB Database

Facilitates seamless interaction between MongoDB databases and human language, allowing for effortless management of collections, querying documents, manipulating records, and executing aggregate functions without the need for intricate query writing.

Elasticsearch

Enhance your data management with seamless integration to Elasticsearch for efficient indexing, search, and organization of extensive datasets.