Complete sandbox for augmenting LLM inference (local or cloud) with MCP Client-Server. Low friction testbed for MCP Server validation and agentic evaluation.
Overview
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?
- Validating new MCP servers against LLM clients.
- Testing LLM behavior in a controlled environment.
- 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.