MCP Llm Sandbox

mcp - scaffold is a development sandbox for verifying the Model Context Protocol (MCP) server, providing support for local LLMs (such as LLaMA 7B) and cloud inference, including a chat interface and reference architecture.

Artificial intelligence chatbots Developer tools #LLM Testing #Protocol Verification #Development Sandbox #Chat Interface .TypeScript

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update time : 2025-04-29

What is an MCP server?

The MCP (Model Context Protocol) server is a tool that allows developers to interact with large language models (LLMs) through a specific protocol, enabling more efficient and flexible model function expansion. For example, through the MCP server, functions such as context management, multi - turn dialogue control, and plugin support can be easily integrated.

How to use the MCP server?

First, you need to install the MCP client and connect to a deployed MCP server. Then, you can send requests to the server through simple commands or API calls, and the server will process these requests and return the results to the client.

Applicable scenarios

The MCP server is very suitable for application scenarios that require complex dialogue management and context awareness, such as customer service systems, intelligent assistants, and educational platforms.

Main Features

Context ManagementSupports saving and restoring context across sessions to ensure dialogue coherence.

Plugin SupportAllows third - party plugins to extend functions, such as knowledge base retrieval and sentiment analysis.

Multi - turn Dialogue ControlAutomatically detects and processes multi - turn dialogue logic to enhance the user experience.

Advantages and Limitations

Advantages

Easy to integrate and expand

Supports multiple language models

Powerful context management capabilities

Limitations

Requires high hardware resources

Some advanced functions may require additional configuration

How to Use

Install the MCP Client

Download and install the MCP client software.

Configure the Server Address

Set the URL address of the MCP server.

Send a Request

Send a request to the server through the command line.

Usage Examples

Weather QueryDemonstrate how to obtain weather information through the MCP server.

Multi - turn DialogueShow how the MCP handles continuous dialogue requests.

Frequently Asked Questions

Which language models does the MCP server support?

How to add custom plugins?

Is an internet connection required to use the MCP?

Related Resources

MCP Official Documentation

Comprehensive user manual for the MCP server.

GitHub Code Repository

Open - source code and example projects.

Tutorial Video

Video tutorial for quickly getting started with the MCP.

🚀 MCP Client-Server Sandbox for LLM Enhancement

This project provides a minimal sandbox environment to verify the Model Context Protocol (MCP) server, and conducts testing in combination with an operational Large Language Model (LLM) client and a real-time chat interface.

🚀 Quick Start

The project is currently under development. It aims to offer a reference architecture and a practical development environment through a built-in chat box UI, LLM inference options, an MCP client, and several demo MCP servers, and will continuously improve as the MCP specification evolves.

✨ Features

Minimal Sandbox Environment: mcp-scaffold serves as a minimal sandbox environment for validating the Model Context Protocol (MCP) server, enabling testing in conjunction with an active Large Language Model (LLM) client and a real-time chat interface.
Low-Friction Integration: The goal is to achieve minimal friction when integrating new MCP servers and evaluate LLM behavior.
Local and Cloud Inference Support: Initially, the sandbox uses a local LLM (such as LLaMA 7B) for local network functionality testing. Future support for cloud inference will allow developers to use more powerful models for validation without relying solely on the local network sandbox environment.
Popular LLM Selection: LLaMA 7B, a relatively large model (approximately 13GB in the common HF format), is used because smaller models lack the necessary conversational capabilities to validate MCP enhancements. It has been downloaded over 1.3 million times in the past month (March 2025).

📚 Documentation

Overview

Under Development

mcp-scaffold is a minimal sandbox environment for validating the Model Context Protocol (MCP) server, conducting testing with an operational Large Language Model (LLM) client and a real-time chat interface. Its goal is to achieve minimal friction when integrating new MCP servers and evaluate LLM behavior.

Initially, the sandbox will use a local LLM (such as LLaMA 7B) for local network functionality testing only. Future support for cloud inference will enable developers to use more powerful models for validation without relying entirely on the local network sandbox environment. LLaMA 7B is a relatively large model (approximately 13GB in the common HF format), while smaller models lack the necessary conversational capabilities to validate MCP enhancements. Nevertheless, LLaMA 7B is a popular local LLM inference model, with over 1.3 million downloads in the past month (March 2025).

Through a built-in chat box UI, LLM inference options, an MCP client, and several demo MCP servers, the project aims to provide a reference architecture and a practical development environment, and will continuously improve as the MCP specification evolves.