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MCP Giljabi

Provides an MCP server that matches user requests to the best compatible PlayMCP using Gemini 2.0 Flash.

Installation

Add the following to your MCP client configuration file.

Configuration

{
  "mcpServers": {
    "bhpark1013-mcp-giljabi": {
      "command": "node",
      "args": [
        "/path/to/mcp-giljabi/dist/index.js"
      ],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

The MCP Giljabi server helps you find the most suitable PlayMCP for a user’s request by analyzing available MCPs with Gemini 2.0 Flash and, if needed, guides you through installing the chosen MCP. It aims to match intents accurately and clearly report when no matching MCP exists, making integration smooth for your workflow.

How to use

You interact with the MCP Giljabi server through a client that asks for the right MCP to handle a request. The server analyzes the request, compares it against the registered MCPs, and returns the best match along with a brief rationale. If no MCP fits, you receive a clear message that no suitable MCP is available.

When you want to find an MCP, provide a natural-language prompt such as requesting information or a recommended action. The system will respond with either a top candidate and the reason for the choice or a notice that no matching MCP exists. If you need to add support for a new MCP, you can follow the installation steps to make it available for future matching.

How to install

Prerequisites you must have before installing: Node.js version 18 or newer and a Google Gemini API Key.

Step by step installation and setup you should follow in your environment.

cd mcp-giljabi
npm install
```

```bash
cp .env.example .env
# In your .env file, set GEMINI_API_KEY
```

```bash
npm run build
```

```bash
npm start
```

```bash
# Local testing commands

Additional content

Environment variable you must provide: GEMINI_API_KEY. This key is required to access the Gemini API for MCP matching and testing.

Local test and debugging guidance is available to verify the server’s behavior before integrating with clients.

{
  "mcpServers": {
    "mcp_giljabi": {
      "command": "node",
      "args": ["/path/to/mcp-giljabi/dist/index.js"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Available tools

find_mcp

AI analyzes the MCP list to recommend a suitable MCP for the given user request or clearly indicate that none fits.

add_mcp

Guides on installing and integrating a new MCP so it becomes available for future matching.