"Ram" matching MCP servers:

Enables local read-only search and retrieval of approved, current evidence via hybrid lexical and dense methods, with tools to get exact source spans, answer from cited passages, and create and verify recheckable evidence packets.

Enables the analysis of massive datasets by storing data in external variables via a sandboxed Python REPL instead of the model's context window. This allows users to process files larger than 100MB without polluting the context or hitting token limits.

Enables Revenue Growth Management analysis for the Alco-Bev industry using NIQ data, including price elasticity, promo effectiveness, and pricing optimization.

Pulls enterprise counts by NACE Rev.2 activity and size class from Eurostat and buckets them into SME and 250+ categories for the DTM TAM model, with tools to fill TAM spreadsheets directly.

Enables Claude to search, retrieve, and analyze indexed files with sensitivity classifications and automatic redaction of sensitive information.

An MCP server that uses Google OR-Tools CP-SAT to find minimal corrections to variable values to satisfy a set of equations, useful for fixing misread data from OCR or forms.