Enables natural language interaction with Apache Iceberg Lakehouse tables through MCP, supporting read-only operations like listing namespaces, tables, schemas, and partitions.
Enables governed, agent-agnostic data exploration by allowing users to ask natural language questions through MCP-compatible agents, executing safe, permission-scoped queries against data sources and returning interactive charts.
Enables natural-language querying of Postgres and MongoDB databases in read-only mode, with PII masking and row/timeout guardrails, from any MCP client.
Enables natural language querying of Microsoft Fabric Data Warehouses with intelligent SQL generation, metadata exploration, and business-friendly result summarization. Features two-layer architecture with MCP-compliant server and agentic AI reasoning for production-ready enterprise data access.
Enables natural language database querying through GPT-powered SQL generation and execution with metadata-driven validation and intermediate representation.
Enables natural-language queries on Trino big data platforms, generating validated, schema-aware SQL via RAG and local LLM inference, and exposes metadata, query, and profiling tools through MCP.