
Build a Production-Ready Review Analytics MCP Server with TypeScript, Rules, LLMs, and Vector Search
Build a Review Analytics MCP Server with TypeScript, Rules, LLMs, and Vector Search 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 https://github.com/abhishekdubey331/ReviewRadar Full Article You can read the full deep dive here: https://medium.com/@abhishekdubey331/build-a-review-analytics-mcp-server-with-typescript-rules-llms-and-vector-search-15a6297e5f2a
Continue reading on Dev.to
Opens in a new tab


