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by toby • Uncategorized
An MCP server enabling LLMs to perform self-reflection and introspection via recursive questioning and sampling.
Self-assess and validate their reasoning processes.
Iterative problem-solving through recursive self-questioning.
Generate introspective feedback to improve output quality.
mirror-mcp provides a reflection mechanism allowing large language models to ask themselves questions and receive thoughtful responses through the Model Context Protocol's sampling capabilities. This facilitates error detection, confidence calibration, iterative improvement, and metacognitive awareness in AI reasoning. It is lightweight, configurable, and easily integrable with MCP-compatible clients.