Meta Prompt MCP

This project is an implementation of the Meta-Prompting technique from the paper "Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding".

At its core, this MCP transforms a standard Language Model (LM) into a dynamic, multi-agent system without the complex setup. It works by having the LM adopt two key roles:

1. The Conductor: A high-level project manager that analyzes a complex problem, breaks it down into smaller, logical subtasks, and delegates them.
2. The Expert: Specialized agents (e.g., "Python Programmer," "Code Reviewer," "Creative Writer") that are "consulted" by the Conductor to execute each subtask.

The magic is that this entire collaborative workflow is simulated within a single LM. The Conductor and Experts are different modes of operation guided by a sophisticated system prompt, allowing the model to reason, act, and self-critique its way to a more robust and accurate solution. It's like having an automated team of AI specialists at your disposal, all powered by one model.

<a href="https://glama.ai/mcp/servers/@tisu19021997/meta-prompt-mcp-server"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@tisu19021997/meta-prompt-mcp-server/badge" alt="Meta Prompt Server MCP server" /> </a>

Demo

Getting Started

1. Clone the Repository

First, clone this repository to your local machine.

git clone https://github.com/tisu19021997/meta-prompt-mcp-server.git .
cd meta-prompt-mcp-server

2. Install uv

This project uses uv, an extremely fast Python package manager from Astral. If you don't have it installed, you can do so with one of the following commands.

Note: use which uv to know the path of your uv installation.

macOS / Linux:

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows (PowerShell):

powershell -c "ir