MCP Client-Server Sandbox for LLM Augmentation

What is MCP Client-Server Sandbox?

MCP Client-Server Sandbox is a minimal environment designed for augmenting LLM inference with the Model Context Protocol (MCP). It serves as a testbed for validating MCP servers and evaluating LLM behavior.

How to use MCP Client-Server Sandbox?

To use the sandbox, developers can plug in new MCP servers and test them against a working LLM client. Initially, it supports local LLMs like LLaMA 7B, with plans to extend to cloud inference for more powerful models.

Key features of MCP Client-Server Sandbox?

• Minimal friction for integrating new MCP servers.
• Local and cloud inference support for LLMs.
• Chatbox UI for interactive testing.
• Reference architecture for MCP specification development.

Use cases of MCP Client-Server Sandbox?

1. Validating new MCP servers against LLM clients.
2. Testing LLM behavior in a controlled environment.
3. Developing and evolving alongside the MCP specification.

FAQ from MCP Client-Server Sandbox?

• Is the sandbox suitable for all LLMs?

Initially, it supports local models like LLaMA 7B, with future support for cloud models.

• What is the purpose of the sandbox?

It aims to provide a low-friction environment for testing and validating MCP servers and LLM interactions.

• Is the project open-source?

Yes, it is available on GitHub under the MIT license.