A Model Context Protocol server that allows AI agents to interact with Apache DolphinScheduler through a standardized protocol, enabling AI-driven workflow management.
A Model Context Protocol server that enables large language models to interact with Apache Superset databases through REST API, supporting database queries, table lookups, field information retrieval, and SQL execution.
A Model Context Protocol server that enables Large Language Models to access and interact with database connections, including viewing schemas and performing CRUD operations on connected databases.
A Model Context Protocol server that enables LLMs to interact with Databricks workspaces through natural language, allowing SQL query execution and job management operations.
A Model Context Protocol server that enables large language models to access database metadata and perform cross-engine data querying across diverse database ecosystems.
A Model Context Protocol server that enables LLMs to interact with MLflow tracking servers, allowing users to query experiments, analyze runs, compare metrics, manage the model registry, and promote models through natural language.