Multiple AI Providers Support - Support for OpenAI, Anthropic, Amazon Bedrock, Google Gemini & Google VertexAI

📦 Local & On-Premises – Support for self-hosted LLMs through configurable AI endpoints and models

🔑 Row-Level Security (RLS) – Fine-grained data access control using Lua scripts

🔐 Authentication Options – Built-in support for API keys and OAuth

👀 Comprehensive Monitoring – Integration with OpenTelemetry (OTel) for request tracking and audit trails

🏎️ Performance Optimization – Implements time-based and LRU caching strategies

How it Works

1. Connect & Discover

Gateway connects to your structured databases like PostgreSQL and automatically analyzes the schema and data samples to generate an optimized API structure based on your prompt. LLM is used only on discovery stage to produce API configuration. The tool uses AI Providers to generate the API configuration while ensuring security through PII detection.

2. Deploy

Gateway supports multiple deployment options from standalone binary, docker or Kubernetes. Check our launching guide for detailed instructions. The system uses YAML configuration and plugins for easy customization.

3. Use & Integrate

Access your data through REST APIs or Model Context Protocol (MCP) with built-in security features. Gateway seamlessly integrates with AI models and applications like LangChain, OpenAI and Claude Desktop using function calling or Cursor through MCP. You can also setup telemetry to local or remote destination in otel format.

Documentation

Getting Started

Additional Resources

How to Build

# Clone the repository
git clone https://github.com/centralmind/gateway.git

# Navigate to project directory
cd gateway

# Insta

Categories

Current Category: elasticsearch

elasticsearch-mcp

gateway