GemForge

Remote

Scanned

API Integration

Integrate this MCP server into your applications.

Get your API Key

You'll need to login and generate a Smithery API key to connect to this server.

Installation

Install the official MCP SDKs using npm:

bash

npm install @modelcontextprotocol/sdk @smithery/sdk

TypeScript SDK

typescript


import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"
import { createSmitheryUrl } from "@smithery/sdk"

const config = {
  "GEMINI_API_KEY": "string",
  "DEFAULT_MODEL_ID": "gemini-2.5-flash-preview-04-17",
  "GEMINI_PAID_TIER": false
}
const serverUrl = createSmitheryUrl("https://server.smithery.ai/@PV-Bhat/gemforge-gemini-tools-mcp", config, "your-smithery-api-key")

const transport = new StreamableHTTPClientTransport(serverUrl)

// Create MCP client
import { Client } from "@modelcontextprotocol/sdk/client/index.js"

const client = new Client({
	name: "Test client",
	version: "1.0.0"
})
await client.connect(transport)

// Use the server tools with your LLM application
const tools = await client.listTools()
console.log(`Available tools: ${tools.map(t => t.name).join(", ")}`)

Configuration Schema

Full JSON Schema for server configuration:

json

{
  "type": "object",
  "required": [
    "GEMINI_API_KEY"
  ],
  "properties": {
    "GEMINI_API_KEY": {
      "type": "string",
      "description": "Google Gemini API key"
    },
    "DEFAULT_MODEL_ID": {
      "type": "string",
      "default": "gemini-2.5-flash-preview-04-17",
      "description": "Default Gemini model ID to use"
    },
    "GEMINI_PAID_TIER": {
      "type": "boolean",
      "default": false,
      "description": "Whether using paid tier (for rate limits)"
    }
  }
}