Enables AI assistants and MCP clients to ask natural-language questions about DuckDB or CSV data and receive safe, read-only SQL-generated tabular insights with automatic schema discovery and multi-table joins.
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 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.
Enables querying your spreadsheet using natural language questions; provides read-only tools for schema, sample data, and structured query execution with auditable computation traces.