{"id":"finite-sample-rmcp","name":"rmcp","af_score":67.0,"security_score":46.0,"reliability_score":37.5,"what_it_does":"rmcp is a Python-based Model Context Protocol (MCP) server that exposes 52 statistical analysis tools (organized into categories) backed by a curated whitelist of CRAN R packages. It can be run locally (stdio for MCP clients such as Claude Desktop; optional HTTP transport for web apps) or used via a live HTTPS endpoint with interactive docs and health checks.","best_when":"You want an MCP-compatible assistant to run R-backed statistical analyses interactively with conversational tool calls, optionally over HTTP for web clients.","avoid_when":"You need strong access control, auditability per user, or documented rate limiting/quotas; or you must ensure strict compliance/data residency guarantees for sensitive data.","last_evaluated":"2026-03-30T13:37:45.432613+00:00","has_mcp":true,"has_api":true,"auth_methods":[],"has_free_tier":false,"known_gotchas":["MCP tool calls may fail if required R or specific R packages are not installed; README indicates a 'check-r-packages' command but does not document failure recovery semantics.","Using the live hosted endpoint may introduce latency, resource limits, or environment variability (not documented in the provided content).","Statistical workflows can be sensitive to data schema/format; tool failures may require reformulating inputs rather than simple retries."],"error_quality":0.0}