"Viber" matching MCP servers:

Enables an AI assistant to send and read Viber messages by automating the Viber Desktop app on macOS through UI automation and OCR.

Local MCP server for AI agents and vibe coding safety: deterministic risk checks (payments, auth, database, secrets, infrastructure), sessions, checkpoints, policy inspection, and fix prompts. Runs over stdio against a local git repository; no language model judges risk.

A generic OpenAI-compatible subagent MCP server that lets Claude Code delegate coding grunt-work to a local model via a tool-calling agent loop, with configurable concurrency and backend.

Enables interaction with Zhejiang University's learning platform (学在浙大 / 智云课堂) via MCP tools, allowing natural language commands to check todos, view schedules, fetch lecture transcripts, and submit homework.

Assigns personality types to functions, rates variable name energy, and suggests aesthetic alternatives for code, providing an unscientific yet entertaining vibe assessment.

Agent-driven RAW photo manager and non-destructive editor with Lightroom-style library and develop tools, controllable via MCP and REST.

Generates a technical starting plan for your app shape, data, login, deployment, and boundaries, saving decisions and reasons for later review only when requested.

Prevents premature AI coding by transforming vague product ideas into structured specifications, architecture decisions, and acceptance criteria through a series of interrogation and compilation tools.

An MCP server for Claude Code that enables semantic search of past session transcripts and intelligent session forking, allowing users to find and resume from relevant previous conversations with full context.

Provides read-only investment research and audit tools for validating ETF snapshots, comparing ETF structures, and auditing backtest reports, while strictly excluding any order or trading capabilities.

This server enables decidable, hardware-attested semantic verification of AI outputs using on-chip ballistic walks, providing reproducible receipts that can be recomputed byte-for-byte.

Transforms any prompt into a fully functional, production-ready product with zero human intervention by providing 150+ autonomous tools covering all aspects of software development.

Automatically reads Sentry issues, investigates them by analyzing your Ruby codebase, explains why issues happened, and provides fix suggestions.

Enables LLMs to compose and play multi-track MIDI music through natural language prompts. Supports outputting to software or hardware synthesizers for enhanced audio quality.

A multi-agent system that scans a JavaScript or TypeScript source file for unbalanced addEventListener calls, flags memory-leak vectors, and produces a validated patch via a Gemini LLM.

Enables AI tools like Claude Code to deploy projects to multiple servers via SSH with zero installation on target machines. Supports server onboarding, project management, and one-click deployment through MCP tools.

Enables MCP-compatible AI applications to perform read-only npm package and project dependency safety scans, returning proceed, caution, or block verdicts without executing package code.

Code-aware browser testing agent — reads your codebase, understands functionality, tests every element, reports with screenshots. Works as MCP server for Cursor/Claude Code or standalone CLI.

Enables creating, inspecting, validating, publishing, and debugging VibeX DAG Workflows as source files, with run control and safe revision management.

Enables coding agents to use a real debugger (Python via debugpy) for launching, attaching, setting breakpoints, stepping through code, inspecting stack frames, and evaluating expressions through MCP tools.