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mcp-nodejs-server

MCP.Pizza Chef: gentoro-GT

The mcp-nodejs-server is a Node.js-based MCP server that acts as an integration layer between MCP clients and the Gentoro MCP server implementation. It enables AI models like Claude to interact with Gentoro bridges and access all underlying capabilities. This server fully integrates with Gentoro's tool ecosystem, allowing users to create, enable, or disable tools within a common Bridge framework. Setup requires a Gentoro account, API key, and bridge definition via Gentoro Studio, facilitating controlled and flexible tool management for AI agents.

Use This MCP server To

Enable Claude to interact with Gentoro bridges Manage AI tools via Gentoro Bridge integration Control tool availability for AI agents Integrate Gentoro services with MCP clients Facilitate secure API key-based access Deploy Node.js MCP server for Gentoro Customize AI agent capabilities via Gentoro

README

Gentoro MCP Server

MCP Server for the Gentoro services, enabling Claude to interact with Gentoro bridges and all underlying capabilities.

Tools

Gentoro allows users to create and integrate tools into a common Bridge, defining all available capabilities.

As this MCP server is fully integrated with Gentoro, the agents, tools and their underlying functionality is fully controlled at the level of Gentoro's bridge which allows you to enable and disable tools per design.

Setup

  1. Create a Gentoro account Visit the Gentoro Playground website to request an account and start using Gentoro services.

Or download and install Gentoro locally, see the installation guide.

  1. Create a Gentoro API Key To use this MCP Connector, you will need a Gentoro API Key. You can see the instruction on how to create one here.

  2. Define a Bridge Using Gentoro Studio, define your bridge with all the tools and data sources required.

Integrate Gentoro with Claude or other Agents using NodeJS

Add the following to your config.json:

{
    "mcpServers": {
        "gentoro": {
            "command": "npx",
            "args": [
                "-y",
                "@gentoro/mcp-nodejs-server"
            ],
            "env": {
                "GENTORO_API_KEY": "<your api key>",
                "GENTORO_BRIDGE_UID": "<your bridge uid>",
                "GENTORO_BASE_URL": "<url where gentoro is hosted>"
            }
        }
    }
}

Alternatively, you can use the short version of Gentoro Key:

{
    "mcpServers": {
        "gentoro": {
            "command": "npx",
            "args": [
                "-y",
                "@gentoro/mcp-nodejs-server"
            ],
            "env": {
                "GENTORO_KEY": "<your api key>/<your bridge uid>/<url where gentoro is hosted>",
            }
        }
    }
}

These values are url safe, and can be properly generated at Gentoro Studio.

mcp-nodejs-server FAQ

How do I set up the mcp-nodejs-server?
Create a Gentoro account, obtain an API key, define a Bridge in Gentoro Studio, then configure the server accordingly.
Can I control which tools are available to AI agents?
Yes, tools can be enabled or disabled at the Gentoro Bridge level for precise control.
Is the mcp-nodejs-server compatible with multiple LLM providers?
While designed for Claude, it can integrate with other LLMs like OpenAI and Gemini through MCP clients.
Where can I get a Gentoro API key?
You can create one by following instructions on the Gentoro documentation website.
Can I run Gentoro services locally?
Yes, Gentoro can be installed locally following the installation guide on their official site.
What programming environment is required?
The server runs on Node.js, making it suitable for JavaScript/TypeScript environments.
How does the server handle tool integration?
It leverages Gentoro's Bridge system to unify and manage all tool capabilities accessible to AI agents.
Is the mcp-nodejs-server open source?
The server is available on GitHub, providing transparency and community collaboration.