ORMCP Server MCP Server

Name: ORMCP Server MCP Server
Author: SoftwareTree

@SoftwareTree

Repository

Basic information

About ORMCP Server MCP Server

Database-agnostic MCP server that exposes relational databases as governed business objects (Customers, Orders, Products) for AI agents via ORM abstraction — instead of raw SQL or schema access. Works with any JDBC-compliant database (PostgreSQL, MySQL, Oracle, SQL Server, SQLite

#database #orm#object-relational-mapping#ai-agent #enterprise #jdbc #postgresql #mysql #sqlite #oracle #sqlserver

ORMCP Server MCP Server config

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

{
  "mcpServers": {
    "ormcp-server": {
      "command": "ormcp-server",
      "args": [],
      "env": {
        "GILHARI_BASE_URL": "http://localhost:80/gilhari/v1/",
        "MCP_SERVER_NAME": "ORMCPServer"
      }
    }
  }
}

ORMCP Server MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is ORMCP Server?

ORMCP Server bridges the gap between AI applications and relational databases using the standard MCP protocol. It enables LLMs like Claude, Gemini, and OpenAI GPT to interact with data through semantic, business-object-focused interfaces rather than complex database schemas.

How to use ORMCP Server?

Deploy the server as a Docker container using the Gilhari microservice. No specific configuration commands or invocation details are provided in the README.

Key features of ORMCP Server

Works with any JDBC-compliant database (Oracle, SQL Server, PostgreSQL, MySQL, SQLite)
ORM-based curated business object abstraction (Customers, Orders, Products)
Reduces token consumption by 60-70%
Bi-directional read/write operations
Optional read-only mode for governed access
Docker-based deployment via Gilhari microservice