mcp-scaffold

What is mcp-scaffold?

mcp-scaffold is a minimal sandbox for validating Model Context Protocol (MCP) servers against a working LLM client and live chat interface. It is intended for developers who need to plug in new MCP servers and evaluate LLM behavior with minimal friction.

How to use mcp-scaffold?

— (The README does not provide install, configure, or invoke instructions at this time.)

Key features of mcp-scaffold

• Minimal friction for plugging in new MCP servers
• Validates MCP servers against a live chat interface
• Supports local LLM inference (e.g., LLaMA 7B)
• Planned cloud inference support for more powerful models
• Serves as both a reference architecture and practical dev environment

Use cases of mcp-scaffold

• Testing custom MCP server implementations before production deployment
• Evaluating how different LLMs behave when augmented with MCP tools
• Providing a reproducible sandbox for debugging MCP integration

FAQ from mcp-scaffold

What is the current development status of mcp-scaffold?

mcp-scaffold is under development and not yet feature-complete.

What LLM does mcp-scaffold currently use for validation?

Initially, a local LLM such as LLaMA 7B is used; cloud inference support is planned for later.

Is mcp-scaffold intended for production use?

No, it is designed as a sandbox for validation and development, not as a production system.

What hardware or runtime dependencies are required?

LLaMA 7B is large (~13GB in common HF format), so a capable local machine is needed for local-only testing.

What components are included in mcp-scaffold?

The architecture includes a chatbox UI, LLM inference options, an MCP client, and demo MCP servers (to be added).