Reexpress
Enable Similarity-Distance-Magnitude statistical verification for your search, software, and data science workflows
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Overview
Reexpress MCP Server is a drop-in solution to add state-of-the-art statistical verification to your complex LLM pipelines, as well as your everyday use of LLMs for search and QA for software development and data science settings. It's the first reliable, statistically robust AI second opinion for your AI workflows. Simply install the MCP server and then add the Reexpress prompt to the end of your chat text. The tool-calling LLM (e.g., Anthropic's LLM model Claude Opus 4.7) will then check its response with the provided pre-trained Reexpress Similarity-Distance-Magnitude (SDM) estimator, which ensembles gpt-5.5-2026-04-23, gemini-3.1-pro-preview, and gemini-embedding-2, along with the output from the tool-calling LLM, and calculates a robust estimate of the predictive uncertainty against a database of training and calibration examples from the OpenVerification1 dataset. Unique to the Reexpress method, you can easily adapt the model to your tasks: Simply call the ReexpressAddTrue or Reex
Installation
Installation instructions are not available yet.
Configuration
Configuration example is not available yet.
Capabilities
- Verify an LLM response
Ask the assistant to check its own answer with the `Reexpress` tool and return a statistically robust confidence estimate.
- Add a true example to the model
After a verification, call `ReexpressAddTrue` to dynamically update the estimator with a confirmed correct response.
- Add a false example to the model
After a verification, call `ReexpressAddFalse` to register an incorrect response so future checks account for it.
- Control file access for verification
Use `ReexpressDirectorySet` and `ReexpressFileSet` to specify which local files get sent to the underlying LLM APIs.
Tags
- search
- data-analysis
- rag
- vector-search
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