Database Gateway

Name: Database Gateway
Author: centralmind

@centralmind

Repository Homepage

About Database Gateway

Universal MCP-Server for your Databases optimized for LLMs and AI-Agents.

#api #golang #elasticsearch #rest-api #clickhouse #mcp #postgresql #snowflake #openai #mysql-database #oracle-database #automatic-api #duckdb #supabase #llm #anthropic-claude #google-vertex-ai #amazon-bedrock

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "gateway": {
      "command": "docker",
      "args": [
        "run",
        "--platform",
        "linux/amd64",
        "-p",
        "9090:9090",
        "\\"
      ]
    }
  }
}

Tools

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Overview

What is Database Gateway?

Database Gateway (CentralMind Gateway) is a tool that exposes your database to AI agents via the Model Context Protocol (MCP) or OpenAPI 3.1 protocols. It automatically generates secure, LLM-optimized APIs for structured data, making it easy for AI applications to query and interact with databases.

How to use Database Gateway?

Use Docker to run the gateway with a database connection string, or download the binary and run gateway start --config gateway.yaml. For initial API generation, run gateway discover with an AI provider (e.g., Gemini) and a connection string, then use the generated YAML configuration to start the server.

Key features of Database Gateway

Automatic API generation using LLMs based on table schema and sampled data
Supports PostgreSQL, MySQL, ClickHouse, Snowflake, MSSQL, BigQuery, Oracle, SQLite, ElasticSearch
Provides APIs as REST or MCP Server including SSE mode
Built-in authentication with API keys and OAuth
PII protection via regex or Microsoft Presidio plugin
Comprehensive monitoring with OpenTelemetry integration
Supports self-hosted LLMs and multiple AI providers (OpenAI, Anthropic, Bedrock, Gemini, VertexAI)
Row-level security via Lua scripts and LRU/time-based caching

Use cases of Database Gateway

Enable AI agents to query, create, or adjust data in your database during development
Chat with your database or data warehouse for analytical scenarios
Enrich AI applications like LangChain, OpenAI, Claude Desktop, and Cursor with live database data

FAQ from Database Gateway

What databases does Database Gateway support?

It supports PostgreSQL, MySQL, ClickHouse, Snowflake, Microsoft SQL Server, BigQuery, Oracle Database, SQLite, and ElasticSearch.

How do I get started with Database Gateway?

Install via Docker or binary, connect to your database, run the discover command with an AI provider and your connection string, then start the server with the generated YAML configuration.

Does Database Gateway support authentication and security?

Yes. It has built-in API key and OAuth authentication, PII redaction plugins, row-level security via Lua scripts, and monitoring through OpenTelemetry for audit trails.

Can I run Database Gateway locally or on-premises?

Yes. It supports local and on-premises deployment via standalone binary, Docker, or Kubernetes, and works with self-hosted LLMs through configurable AI endpoints.