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by tisu19021997 • Uncategorized
Transforms a single language model into a dynamic multi-agent system using meta-prompting.
Decompose complex problems into subtasks automatically.
Simulate expert consultation workflows within a single language model.
Improve solution robustness through self-critique and multi-role reasoning.
This MCP server implements the Meta-Prompting technique to simulate a collaborative workflow within a single language model by adopting the roles of a Conductor and multiple Experts. It enables complex problem decomposition and expert consultation without requiring multiple independent model calls, making the process faster and more cost-effective. The server is designed to integrate with clients like Cursor and Claude Desktop to enhance language model task performance.