"NestJS Framework for Building Backend Applications" matching MCP servers:

MCP server providing backend access to PostgreSQL, Storage (Supabase/S3), Iceberg data lake, and SQL seeds. It offers 32 tools for database queries, storage operations, seed management, and more.

Give your AI coding agents the superpower to observe your NestJS application's runtime state in real-time.

Enables control and management of smart home devices across multiple rooms through specialized MCP servers. Supports lights, thermostats, fans, and ovens with room-specific rules and automatic persistence.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

A template for building MCP backends for lab equipment with an embedded Echo example for immediate testing and development.

Enables coding agents to load backend anti-slop rules and deterministically audit TypeScript/backend files for violations like SELECT *, SQL interpolation, N+1 calls, silent catches, stack leaks, type escapes, and TODOs, plus verify TypeScript compilation. Returns PASS/FAIL findings so agents can fix issues before shipping.

MCP server for managing notes with CRUD tools. It uses the same notes service as the GraphQL API, enabling natural language interaction with notes.

A Docker-based local RAG backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the Model Context Protocol. It supports over 28 file formats and tracks evolving relationships between concepts using a Neo4j-backed graphiti implementation.

Enables AI agents to interact with existing NestJS backend services via MCP, providing tools to look up clients, list products, and create requests.

Enables structured dynamic analysis of authorized Windows processes via Cheat Engine 7.7, exposing bounded tools for process inspection and debugging without arbitrary code execution or memory writes.

Enables AI agents to perform read-only static analysis of Node.js backend projects, detecting database query anti-patterns, async bottlenecks, connection pooling mistakes, and dependency hygiene issues while returning structured evidence-backed findings.

A configurable MCP server that enables creating custom analysis tools through JSON configuration, with built-in frameworks for error handling, self-evaluation, security guardrails, and output artifacts.

A comprehensive MCP toolkit for Java backend developers, providing 35 tools across 5 servers for database analysis, JVM diagnostics, migration assistance, Spring Boot monitoring, and Redis diagnostics.

A local, read-only MCP server that analyzes Python backend projects by providing tools to scan, map, and selectively read files, reducing token usage for AI clients.

Generates project features (HTML pages, backend APIs) from prompts and project-specific business rules stored as resources, with support for interchangeable LLM providers (local Ollama or cloud Gemini).

Connects Claude Desktop to BULC fire simulation software for AI-powered building design, enabling natural language creation of rooms, walls, and multi-story structures with spatial awareness and undo/redo support.

Experimental MCP server built with NestJS and LangGraph, enabling tool execution and agent workflows via stdio transport. Supports OpenAI and Ollama models for flexible agent orchestration.

Enables agents to prepare bounded architecture tasks through proposal, scheduling, and observation tools while keeping human approval and document acceptance outside MCP.

Provides a reusable MCP server foundation with explicit tool registration, operation-mode separation, scope-based permissions, structured results, and built-in health/status tools.

A local MCP server that parses Robot Framework output.xml files, scores and groups failures, and exposes structured triage data to Claude Desktop and Claude Code.