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Generate modern APIs and MCP tools for Azure and on-prem databases.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "data-api-builder" yet — see the docs or source repo.
Generate a usable REST API design for my Azure SQL database, including CRUD endpoints for users, orders, and products, with parameters, authentication, and sample requests.
A clear REST endpoint design with routes, methods, auth details, and example calls.
Based on an on-prem PostgreSQL database, generate a GraphQL schema supporting customer and invoice queries, pagination, filtering, and provide sample queries and mutations.
A usable GraphQL schema design plus sample read and write operations.
Design my database query and write capabilities as MCP tools, listing callable tool names, input parameters, return structures, and typical tasks suitable for an AI assistant.
An MCP tool catalog and definitions showing how AI can safely invoke database capabilities.
Securely query and manage Azure PostgreSQL databases with AI.
Connect AI to databases for queries, schema management, and data export.
Run read-only SQL queries and explore database schemas via Metabase API.
Discover APIs, manage categories, and run SQL queries through MCP.
Diagnose, operate, and analyze database performance through MCP and CLI.
Query, explore, and interact with Azure SQL databases via MCP clients.