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 the semantic layer, and your data team approves every change:
Modeler agent: drafts definitions, metrics, and joins from your schema, docs, and existing models.
Analyst agent: maps each question onto the approved context, with SSO, role-based access, and row- and column-level security applied. Answers come back as 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 proposes fixes, each tested against your golden datasets before your team approves it.
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 locally or self-hosted, or run the managed platform in Agami's cloud or on-prem.