#VIBE

Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors

A Model Context Protocol (MCP) server that provides tools to query Erick Wendel's contributions across different platforms

MCP Server - get a heat check headlines

This template provides a streamlined foundation for building Model Context Protocol (MCP) servers in Python. It's designed to make AI-assisted development of MCP tools easier and more efficient.

A chrome extension bridge that allows you to connect to a mcp server to use global window object.

A comprehensive collection of Model Context Protocol (MCP) servers

Autonomous AI browser testing. Give Testorax a URL and it crawls your app, generates test scenarios, runs them in real browsers, and returns a bug report with screenshots. No test code to write. Works with any deployed web app.

Simple MCP Server w/ Shell Exec. Connect to Local via Ngrok, or Host Ubuntu24 Container via Docker

Asterisk Model Context Protocol (MCP) server.

MCP Server for automation in the PlayCanvas Editor

A MCP server to help with Vibecoding

Mirror of

A simple MCP server that delivers you jobs based on your needs

An MCP server installer for Roo Code. Handles the installation from Github, requirements, package management, update, installation and MCP Json configuration.

Databutton MCP Server

[MCP Server] Complete QA for cursor -> (soon to be renamed to VibeCheck)

Give coding agents the ability to understand dependencies.

ARC Model Context Protocol (MCP) Server: AI-Powered Development using the ARC framework.

Personal Context Technology for AI Personalization MCP server

Claude Context is an MCP plugin that adds semantic code search to Claude Code and other AI coding agents, giving them deep context from your entire codebase.

Context7 MCP Server

This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities

MCP Server for AI automation of the PlayCanvas Editor

Final v4 release of Vibe Coder MCP Server with Automatic Contextual Retrieval System (ACRS) tools

The definitive Vibe Coder's sanity check MCP server: Prevent cascading errors in AI workflows by implementing strategic pattern interrupts. Uses tool call "Vibe Check" with LearnLM 1.5 Pro (Gemini API), fine-tuned for pedagogy and metacognition to enhance complex workflow strategy, and prevents tunnel vision errors.

X/Twitter MCP server

DockaShell is an MCP server that gives every AI Agent its own isolated Docker container — complete with file access, shell execution, and full action traceability.

The llm_to_mcp_integration_engine is a communication layer designed to enhance the reliability of interactions between LLMs and tools (like MCP servers or functions).

[MCP Server] Complete QA for cursor

MCP server for managing Tempo worklogs in Jira

CodeCompass: AI-powered Vibe Coding with MCP. Connects Git repositories to AI assistants like Claude, using Ollama for privacy or OpenAI for cloud. Integrates with VSCode, Cursor, and more.

An MCP server that autonomously evaluates web applications.

Code intelligence MCP server that makes AI coding safer. Builds a dependency graph of your entire codebase so Claude, Cursor, or any MCP client knows what breaks before making changes. 60+ tools for impact analysis, health scoring, dead code detection, and architecture enforcement. Built for vibecoders who ship fast and teams who need reliability. Supports Python, TypeScript, JavaScript.

TypeScript template for building Model Context Protocol (MCP) servers & clients. A beginner-friendly, production-ready starting point with essential utilities, examples, and type safety.

MCP Server for Zerocracy: add it to Claude Desktop and enjoy vibe-management

Stop letting AI hallucinations eat your hours. With this engine, your work flows smoothly while a full SRE squad of models codes and debugs on your behalf. Are you building complex applications, only to find that AI hallucinations are eating your entire afternoon? You know the loop: You ask Claude or Cursor to fix a bug. It gives you a snippet. It breaks something else. You paste the error back. It forgets the original architecture and responds with "// ... rest of your code here". What started as a 5-minute feature turns into a 3-hour circular debugging nightmare. If this engine actually works, you are saved. The Qwen Engineering Engine (powered by the Lachman Protocol) completely stops the "two steps forward, one step back" dance. Instead of relying on a single, forgetful LLM to do everything, this MCP Server deploys a dedicated, specialized squad of Qwen models to your local codebase: - Zero Placeholders: The dedicated qwen_coder tool writes 100% complete, production-grade files. No lazy snipping. - Deep Debugging: Instead of pasting logs to Claude, the qwen_audit tool unleashes QwQ (Qwen's reasoning model) to act as your Senior Auditor. It reads the files, finds the memory leak, and tells you exactly what failed. - Architectural Immunity: Before writing code, the qwen_architect drafts a JSON roadmap and self-verifies it against your stack. If it's a bad idea, it rejects it *before* breaking your app. Why Qwen? Because running an entire squad of GPT-4o or Claude 3.5 Opus models to constantly rewrite files would cost you $50 a day. By routing this heavy lifting through Alibaba's DashScope API (Qwen 3.5 Plus & Qwen 2.5 Coder 32B), the cost is literal fractions of a cent. Let your main assistant (Claude/Antigravity/Cursor) be the Commander. Let the Qwen Engine do the heavy lifting in the trenches. Stop chatting. Start shipping.

Infobip MCP Servers let you build AI agents to interact with the Infobip platform through the Model Context Protocol (MCP). Connect to Infobip and enable your agents to perform actions, such as sending messages over channels like SMS, RCS, WhatsApp, or Viber, or managing customer data in a controlled, production-grade environment.

The repo for the GPT webcat

a powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & Agno integration)

Stop AI coding disasters before they cost you weeks. Real-time anti-pattern detection for vibe coders who love AI tools but need a safety net to avoid expensive overengineering traps.

🎨 Official monday.com UI resources for application development in React.js

CTX: The missing link between your codebase and your LLM. Context as Code (CaC) tool with MCP server inside.

[MCP Server] Complete QA for cursor

MCP server to access free geocoding

An MCP server allowing AI assistants to use a Neo4j knowledge graph as their primary, dynamic instruction manual and long term project memory with adaptive templating and autonomous tool development tools.

Simple MCP Server w/ Shell Exec. Connect to Local via Ngrok, or Host Ubuntu24 Container via Docker

Sinch provides a global, scalable, secure platform for businesses to communicate with their customers - for messaging, voice, verification and email. These communication capabilities are vital for anyone building customer-connected solutions with AI systems. The Sinch MCP server enables customers who build agentic experiences to easily use Sinch services for communication. The Sinch MCP Server provides AI Assistants such as Claude or code builder such as Cursor or agent builders such as Google, with easy access to various Sinch services including Messaging, Voice, Email, Verification and many more. Messaging channels include RCS, SMS, MMS, WhatsApp, Facebook Messenger, Instagram, Viber Business Messages, Telegram Bot, KakaoTalk, LINE, WeChat and Sinch Chat.

Your Vibe Coding Buddy

Last9 MCP Server

Vibe coding should have human in the loop! interactive-mcp: Local, cross-platform MCP server for interact with your AI Agent

Build and automate your own AI team. Just like building a website with vibe coding, build your AI team the same way. Automation, analytics, execution — your custom AI agents handle it all for you. Zentrun lets you vibe-code real, executable AI agents. With a single sentence, you create actions that run, remember, analyze, and evolve — powered by MCP and designed for automation at scale.

This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities

This template provides a streamlined foundation for building Model Context Protocol (MCP) servers in Python. It's designed to make AI-assisted development of MCP tools easier and more efficient.