"Full-Stack MEAN CRUD Development" matching MCP servers:

Enables querying and managing Rybbit Analytics directly from Claude Code, with 48 tools for full CRUD on funnels, goals, and sites, plus real-time statistics, performance metrics, and user journey analysis.

Health doctor for a home AI stack (Ollama nodes, GPUs, tailnet) with graded confidence, as a CLI, an MCP server and a DSH plugin.

Enables AI assistants to connect to browser DevTools and backend debuggers for full-stack debugging, including frontend console, network, performance, and backend log analysis.

Monitors development commands and exposes terminal output to Claude in real-time, allowing AI assistants to see errors, logs, and stack traces without copy-pasting.

Enables interaction with Datadog APIs through natural language, supporting full CRUD operations on metrics, monitors, dashboards, logs, infrastructure, and more.

Enables an AI assistant to query local AI stack status, incidents, logs, GPU metrics, and service history, and to trigger restarts through MCP tools.

MCP servers for real-time development monitoring and interactive pair programming.

A 100% local development monitoring tool that captures browser console logs, network requests, and backend server output for analysis by AI assistants via MCP. It enables LLMs to debug applications by providing structured, real-time access to full-stack log data and persistent local storage.

Provides 45 tools for monitoring and managing a Docker-based media stack, including Sonarr, Radarr, and other services.

A token-efficient MCP server for MySQL, PostgreSQL, and SQLite, providing tools to query databases, execute SQL, and analyze query performance.

Provides full Google Analytics 4 management and reporting capabilities via MCP, including property management, custom dimensions, audiences, events, data streams, and real-time reporting.

Enables retrieval of error stack traces by transaction ID from OpenSearch logs, supporting configurable connection settings and Docker deployment.

Enables querying and searching logs from Kibana (ELK stack) via MCP, with support for project-based data views, trace ID correlation, and log expansion.

A production-oriented, read-only MCP server for secure ELK stack analysis, compatible with OpenClaw.

An MCP server that connects to Sentry.io or self-hosted Sentry instances to retrieve and analyze error reports, stack traces, and debugging information.

A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.

MCP server that diagnoses Apache Spark job failures and optimizes performance using stack-trace analysis and LLM providers, supporting EMR and local sources.

MCP server for the Chrome UX Report, providing real-user Core Web Vitals (LCP, INP, CLS) and historical trends for any origin or URL via natural language queries.

Yandex Metrica over MCP: 13 tools for counters, goals, Reporting API queries with period comparison, and the full Logs API export lifecycle with preview-first downloads.

Enables natural language queries of the Chrome UX Report API to fetch Core Web Vitals (LCP, INP, CLS, FCP, TTFB), compare form factors, benchmark pages against site averages, and analyze up to 40 weeks of performance trends.