Connects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through MCP Clients like Claude Desktop and Cursor.
Provides CRUD tools for managing a database of Italian cities backed by Elasticsearch. It enables AI assistants to search, create, update, and delete city records through a standardized Model Context Protocol interface.
Enables AI assistants to search Elasticsearch logs, retrieve log details, analyze service health, scan local codebases for APIs, and create Kibana dashboards.
Provides a unified MCP server to interact with multiple middleware (Loki, MySQL, Redis, RocketMQ, Elasticsearch, MongoDB) through a desktop application for connection management and configuration export.
Provides read-only database access for AI agents across multiple databases (Postgres, MySQL, MongoDB, Elasticsearch) with enforced read-only guarantees and separate tools for prod and non-prod environments.