reexpress_mcp_server

reexpress_mcp_server

3.2

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Reexpress MCP Server is a solution for adding statistical verification to LLM pipelines, specifically designed for software development and data science settings.

Reexpress MCP Server is a cutting-edge tool designed to enhance the reliability of AI workflows by providing statistical verification for complex LLM pipelines. It is particularly useful in software development and data science environments, offering a robust AI second opinion. The server works seamlessly with Anthropic's Claude models (Sonnet 3.7, Sonnet 4, or Opus 4) and utilizes a pre-trained Reexpress Similarity-Distance-Magnitude (SDM) estimator. This estimator combines outputs from various models, including gpt-4.1-2025-04-14, o4-mini-2025-04-16, and text-embedding-3-large, to calculate predictive uncertainty. Users can adapt the model to specific tasks by using ReexpressAddTrue or ReexpressAddFalse tools, which update the verification probability dynamically. The server processes data locally on Apple silicon Macs, ensuring privacy and security. It also supports integration with web search and domain-specific retrieval for enhanced functionality.

Features

  • Statistical Verification: Provides a robust AI second opinion for LLM outputs.
  • Adaptable Model: Users can dynamically update verification probabilities with ReexpressAddTrue or ReexpressAddFalse tools.
  • Local Processing: All SDM estimator processing is done locally on Apple silicon Macs.
  • Integration Support: Compatible with web search and domain-specific retrieval for enhanced capabilities.
  • File Access Control: Users can specify which files are sent to LLM APIs, ensuring data privacy.