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MCP-LlM-Sandbox
2025-04-11
Komplette Sandbox zum Augmenting LLM-Inferenz (lokal oder Cloud) mit MCP-Client-Server. Niedriger Reibungstest für MCP Server -Validierung und agentenbewertung.
3 years
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MCP Client-Server Sandbox for LLM Augmentation
Overview
Under Development
mcp-scaffold is a minimal sandbox for validating Model Context Protocol (MCP) servers against a working LLM client and live chat interface. The aim is minimal friction when plugging in new MCP Servers and evaluating LLM behavior.
At first a local LLM, such as LLaMA 7B is used for local network only testing capabilties. Next, cloud inference will be supported, so devs can use more powerful models for validation without complete local network sandboxing. LLaMA 7B is large (~13GB in common HF format), however, smaller models lack the conversational ability essential for validating MCP augmentation. That said, LLaMA 7b is a popular local LLM Inference model with over 1.3m downloads last month (Mar 2025).
With chatbox UI, LLM inference options in place, MCP Client and a couple demo MCP servers will be added. This project serves as both a reference architecture and a practical development environment, evolving alongside the MCP specification.
Architecture
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Reviews
5
(1)
user_IGwZqoPm
2025-04-17
As a dedicated user of mcp-llm-sandbox, I am genuinely impressed by its capabilities. The ease of setting up and seamless integration provided by tmcarmichael makes it a standout tool. The repository found at https://github.com/tmcarmichael/mcp-scaffold is well-documented, making onboarding straightforward even for newcomers. Highly recommend it for anyone looking to leverage powerful language models efficiently!