Agami AI is a governed MCP server and semantic layer that gives Claude, ChatGPT, and Copilot trusted answers from your databases. AI is confidently wrong when it has to guess your business logic. Agami replaces the guess with your own definitions and rules: what a question means, who's allowed to ask it, and where the answer lives. Agami is AI-native. A team of AI agents builds and maintains that context for you, and your data team stays in control of every change: • Modeler agent. Drafts definitions, metrics, and joins from your schema, docs, and existing models. Your data team approves every one. • Analyst agent. Maps each question onto that approved context, with SSO, role-based access, and row- and column-level security applied. Every answer ships with a receipt: the SQL, a chart, and a short summary, marked governed or flagged. • Operator agent. Deploys the model, ships changes through CI, and monitors answers in production. • Optimizer agent. Scores answers and turns failures and feedback into proposed fixes, each tested against your golden datasets before your team approves it. No months of hand-built modeling. No semantic layer that drifts out of date as your schema changes. The same governed answer works in Claude, ChatGPT, Gemini, Copilot, Cursor, LangChain, n8n, and any MCP client. Agami queries Snowflake, Postgres, BigQuery, Redshift, Databricks, MySQL, Oracle, and more in place. Nothing is copied or moved. Start free with agami-core in Claude Code, or self-host it for your team. The managed platform runs in our cloud or on-prem in yours. Try the live demo: https://www.agami.ai/demo/ GitHub: https://github.com/AgamiAI/agami-core