At Node Code Studio, we’ve built a powerful Modular Command Processor (MCP) server that makes it easy to connect your AI applications with real-world tools and APIs. Our system allows authenticated users to activate specific tool functions—from Gmail to Calendar, Qdrant, and more—through a centralized interface that integrates with platforms like LM Studio, Anthropic Claude, and OpenAI.
Once authenticated via API key, users are presented with a user-friendly interface where they can selectively enable or disable individual tools—such as:
google_calendar.events_insert (Create Event)google_gmail.messages_list (List Gmail Messages)google_gmail.messages_send (Send Gmail Message)This ensures that users have full control over which capabilities are accessible to the AI agent.
Once the tools are selected, the AI can interact with our MCP server through a simple config setup. Here’s an example configuration for connecting your LLM agent (like Claude or GPT-4 via LM Studio) to our MCP server:
{
"mcpServers": {
"MCP": {
"url": "https://nodecodestudio.com/mcp",
"headers": {
"X-API-Key": "API_KEY"
}
}
}
}
This lets the AI system dynamically call real-time functions through your selected tools without needing to write complex API wrappers for each one.
Our visual interface categorizes tools under providers like Google, Qdrant, and more. Each tool has a readable title, description, and a toggle switch for easy control:
With Node Code Studio, you can empower any AI model to act like an agent, calling real-world tools securely and efficiently. Whether you’re using LM Studio, Claude, GPT-4, or others, our MCP server bridges the gap between AI and action.
Let your AI do more—safely, modularly, and with full transparency.