The latest articles on DEV Community by Abhishek dubey (@abhishek_dubey_21fdc73a80). https://dev.to/abhishek_dubey_21fdc73a80 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1839594%2Fe5ae481a-37a8-46b6-af25-ba93f5d4642d.jpg https://dev.to/abhishek_dubey_21fdc73a80 en Abhishek dubey Sun, 15 Mar 2026 05:48:29 +0000 https://dev.to/abhishek_dubey_21fdc73a80/build-a-production-ready-review-analytics-mcp-server-with-typescript-rules-llms-and-vector-search-3bal https://dev.to/abhishek_dubey_21fdc73a80/build-a-production-ready-review-analytics-mcp-server-with-typescript-rules-llms-and-vector-search-3bal <h2> Build a Review Analytics MCP Server with TypeScript, Rules, LLMs, and Vector Search </h2> <p>App reviews contain valuable product signals, but extracting insights from thousands of reviews manually is nearly impossible.</p> <p>I built <strong>ReviewRadar</strong>, a review intelligence MCP server that:</p> <ul> <li>classifies reviews using <strong>rules + LLM routing</strong> </li> <li>stores embeddings for <strong>vector search</strong> </li> <li>detects <strong>P0/P1 issues automatically</strong> </li> <li>exposes analytics through <strong>MCP tools</strong> </li> </ul> <h3> Architecture </h3> <p>App Reviews → Rules Engine → LLM Router → Vector DB → Analytics → MCP Tools</p> <h3> GitHub </h3> <p><a href="https://github.com/abhishekdubey331/ReviewRadar" rel="noopener noreferrer">https://github.com/abhishekdubey331/ReviewRadar</a></p> <h3> Full Article </h3> <p>You can read the full deep dive here:</p> <p><a href="https://medium.com/@abhishekdubey331/build-a-review-analytics-mcp-server-with-typescript-rules-llms-and-vector-search-15a6297e5f2a" rel="noopener noreferrer">https://medium.com/@abhishekdubey331/build-a-review-analytics-mcp-server-with-typescript-rules-llms-and-vector-search-15a6297e5f2a</a></p> ai mcp llm programming