"Full-stack development resources and information" matching MCP servers:

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

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

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

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

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

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.

A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.

Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.

MCP server for profiling Python processes using py-spy, supporting flamegraphs, stack dumps, and performance comparisons.

Enables mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues.

Enables interaction with the Admina API to manage and query organizational SaaS resources including devices, user identities, service integrations, and account information across multiple services.

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

Enables interaction with Foreman infrastructure management platform through MCP tools, prompts, and resources. Supports querying host information, security updates, and accessing Foreman data via natural language.

A comprehensive MCP server that gives AI assistants full control over your desktop — monitor system resources, manage windows, capture screenshots, control the clipboard, launch applications, and more.

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

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.