Ormcp Docs MCP Server

ORMCP Server enables AI LLMs and MCP clients to easily exchange object-oriented data (in JSON format) with any relational database using the MCP

Local serverstdioPython

What is the Ormcp Docs MCP Server?

ORMCP Server enables AI LLMs and MCP clients to easily exchange object-oriented data (in JSON format) with any relational database using the MCP standard protocol.

What you get

The Model Context Protocol (MCP) is an open standard that provides a unified way for AI models to interact with external tools and data sources. It standardizes communication, making it easier to integrate LLMs into complex workflows without building custom API integrations for every use case.

Configuration and credentials

  • Python 3.12+ * Docker (for Gilhari microservice) * JDBC driver for your target database

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
get_server_version

How to install the Ormcp Docs MCP Server

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

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

  • Python 3.12+ * Docker (for Gilhari microservice) * JDBC driver for your target database
VariableDescriptionRequired
GILHARI_BASE_URLDeclared in the maintainer’s client configuration.Check documentation
MCP_SERVER_NAMEDeclared in the maintainer’s client configuration.Check documentation

Example prompts to try

  • “Use Ormcp Docs to Prerequisites.”

Frequently asked questions

ORMCP Server enables AI LLMs and MCP clients to easily exchange object-oriented data (in JSON format) with any relational database using the MCP standard protocol. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.