MCP Client-Server Sandbox for LLM Augmentation

Created By
tmcarmichael5 months ago
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?

  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.

Project Info
Created At
5 months ago
Updated At
5 months ago
Author Name
tmcarmichael
Star
1
Language
TypeScript
License
MIT license
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