Model Context Protocol (MCP) server that gives AI assistants a safe, correct data-analyst capability over business metrics - without raw SQL improvisation.
An MCP server that exposes a dbt project's run state as tools, enabling AI assistants to answer questions like 'is the warehouse healthy?' or 'what broke and why?' via plain English, using read-only access to dbt artifacts and warehouse data.
This MCP server enables safe local access to tables and spreadsheets for AI agents, providing typed tools for reading, previewing, and committing table changes through a permission-brokered interface.
A read-only MCP server that exposes dbt project artifacts and data quality result tables (BigQuery/Postgres) to LLM clients, enabling deep introspection, run-history analysis, source freshness, test coverage, and lineage walks.
MCP server for Adobe Customer Journey Analytics, enabling AI-powered analytics queries including reports, breakdowns, trends, and dimension searches through Claude and other MCP clients.