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Database Gateway MCP Server

@centralmind

代码仓库主页

基本信息

分类

数据库

许可证

Apache-2.0

传输方式

stdio

作者

centralmind

提交者

Victor

关于 Database Gateway MCP Server

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

Database Gateway MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Database Gateway MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

1

What databases does Database Gateway support?

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

2

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.

3

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.

4

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.

5

Does Database Gateway provide API documentation?

Yes. It automatically generates Swagger UI documentation and an OpenAPI 3.1.0 specification for all created endpoints.

评论

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