Skip the API Boilerplate – Gateway Generates Database APIs for Your AI Agents

Your AI agents need database access, but building secure, well-documented APIs takes weeks. CentralMind Gateway analyzes your database schema and automatically generates production-ready REST and MCP APIs in minutes – no manual endpoint definition required.

The Database-to-AI Agent Problem

You're building AI agents that need to query your PostgreSQL analytics database or pull customer data from MySQL. The traditional approach means weeks of API development: defining endpoints, writing SQL queries, handling parameters, securing access, and documenting everything.

Meanwhile, your AI agent is waiting, and your sprint deadline isn't moving.

Generate APIs, Don't Write Them

Gateway connects to your database, analyzes the schema and sample data, then uses an LLM to generate optimized API configurations automatically:

docker run --platform linux/amd64 -p 9090:9090 \
  ghcr.io/centralmind/gateway:v0.2.18 start \
  --connection-string "postgres://user:pass@host:5432/analytics"

Within seconds, you get:

• REST API with Swagger documentation at http://localhost:9090/
• MCP Server for AI agents at http://localhost:9090/sse
• Automatic PII detection and data redaction
• OpenTelemetry integration for request tracking

Real Productivity Gains

Before Gateway:

• 2-3 weeks building custom database APIs
• Manual endpoint design and SQL query optimization
• Security implementation from scratch
• Documentation writing and maintenance

With Gateway:

• 5 minutes from database connection to working API
• AI-optimized queries generated automatically
• Built-in security and PII protection
• Self-documenting with OpenAPI 3.1 specs

Where Gateway Excels

AI Agent Development

Your Claude Desktop, Cursor, or custom LangChain agents get instant database access through MCP. No more hardcoded database connections in your agent code.

{
  "mcpServers": {
    "database": {
      "command": "docker",
      "args": ["run", "-i", "--platform", "linux/amd64", 
               "ghcr.io/centralmind/gateway:v0.2.18", 
               "--connection-string", "postgres://...", "start", "stdio"]
    }
  }
}

Analytics Dashboards

Connect your data warehouse (Snowflake, BigQuery, ClickHouse) and get queryable APIs for building custom analytics tools. Gateway handles the complexity of different SQL dialects and optimizations.

Rapid Prototyping

Need to expose your database for a hackathon project or proof-of-concept? Gateway gets you from database schema to working API faster than you can write the first endpoint manually.

Enterprise-Ready Security

Gateway isn't just fast – it's secure by default:

• PII Detection: Automatically identifies and redacts sensitive data using regex patterns or Microsoft Presidio
• Row-Level Security: Fine-grained access control using Lua scripts
• OAuth & API Key Auth: Built-in authentication without additional middleware
• Audit Trails: Complete request logging through OpenTelemetry integration

Universal Database Support

Works with your existing infrastructure:

• PostgreSQL, MySQL, Oracle, SQL Server: Traditional RDBMS
• ClickHouse, DuckDB: Analytics databases
• Snowflake, BigQuery: Cloud data warehouses
• Elasticsearch: Document stores via SQL interface

Integration That Actually Works

Gateway implements MCP properly, so it integrates seamlessly with:

• Cursor IDE: Database context in your development environment
• Claude Desktop: Natural language database queries
• Custom AI Agents: Through MCP protocol or REST APIs
• Existing Tools: OpenAPI 3.1 compatibility with any HTTP client

Getting Started

1. Generate your API configuration:

export GEMINI_API_KEY='your-key'  # Free tier available
./gateway discover \
  --ai-provider gemini \
  --connection-string "postgresql://user:pass@host/db" \
  --prompt "Generate readonly API for customer analytics"

2. Review the generated gateway.yaml with your optimized endpoints

3. Start the server:

./gateway start --config gateway.yaml

Your API is live with documentation, security, and AI agent compatibility built-in.

Why Gateway Over DIY

Building database APIs manually means reinventing solutions for parameter validation, SQL injection prevention, response caching, and documentation generation. Gateway delivers all of this automatically, optimized specifically for AI agent workloads.

The 405 GitHub stars and active development show this isn't experimental – it's production-ready infrastructure that other developers are already using to ship faster.

Stop writing boilerplate database APIs. Generate them instead.