Build a Production-Ready Review Analytics MCP Server with TypeScript, Rules, LLMs, and Vector Search

Published: 1 month ago (March 15, 2026 at 01:48 AM EDT)

1 min read

Source: Dev.to

Source: Dev.to

Overview

App reviews contain valuable product signals, but extracting insights from thousands of reviews manually is nearly impossible.

I built ReviewRadar, a review intelligence MCP server that:

classifies reviews using rules + LLM routing
stores embeddings for vector search
detects P0/P1 issues automatically
exposes analytics through MCP tools

Architecture

App Reviews → Rules Engine → LLM Router → Vector DB → Analytics → MCP Tools

GitHub

ReviewRadar Repository

Full Article

You can read the full deep dive here:

Build a Review Analytics MCP Server with TypeScript, Rules, LLMs, and Vector Search

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