"Viber" matching MCP servers:

Enables MCP clients to read, search, open, draft, and send messages in Viber Desktop, manage reactions, edits, unsends and attachments, and retrieve property listings from Google Drive; on Windows it runs in the background without cursor, focus, or clipboard use.

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

Enables AI agents to automate the Viber desktop client on Linux by searching contacts, opening chats, reading conversation history, preparing verified drafts, and sending operator-approved messages.

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.

Enables AI assistants to search, read, author, edit, favorite, and privately or publicly publish recipes on the Lidl cooking platform, including converting Paprika/Thermomix instructions into Smart device programs with automatic weighing steps.

Enables Claude Code to delegate well-specified coding tasks to the Mistral Vibe CLI in isolated, sandboxed git worktrees, with asynchronous job submission, status and diff inspection, and safe staging of changes for review.

Enables MCP clients to run and resume Vibe coding-agent sessions in project directories with configurable limits, model/agent/tool controls, worktrees, and installation management.

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.

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 any MCP-capable coding agent to gate code writing behind user-approved design checkpoints, asking for the user's own approach first and recording decisions, project maps, and progress in a local .vibe-wise/ folder. Code is only written once the user explicitly confirms an implementation checkpoint, with no account, backend, or telemetry required.

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.

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.

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.

Apache-2.0 local stdio MCP server that analyzes project structure read-only and exposes architecture checkpoints, findings, and evolution history to coding agents. Start it with npx -y @vibe-monitor/setup@latest mcp.

Enables autonomous software development by managing requirements, architecture, task dependency DAGs, isolated worker workspaces, execution, contract and integration verification, and checkpoints. It provides observable evidence gates so AI workers can build and verify software against reproducible contracts.

Enables MCP assistants to run heuristic risk scans on Solana and Base tokens, covering mint/freeze authorities, Token-2022 controls, holder concentration, dangerous bytecode patterns and transfer restrictions. It also supports Pro workflows for detecting block-0 bundlers, tracing mother-wallet funding clusters and batch-auditing watchlists, with local license activation via on-chain payment receipts.

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.

Enables AI assistants to perform software-development tasks such as deep research, codebase mapping, context curation, requirements and user-story generation, full-stack starter project scaffolding, and multi-step workflow execution.

Enables Claude to run a structured learning program by selecting topics, delivering lectures to a local site, reading and grading answers, tracking progress, and closing completed topics. It also serves a localhost website for viewing the curriculum and progress.

Enables AI assistants to research, plan and manage tasks, generate requirements and user stories, scaffold projects, analyze codebases, curate context, and run multi-step development workflows.

Enables AI assistants to research, plan, generate requirements, user stories, task lists, and full-stack starter projects, analyze codebases, curate context, and run multi-step software development workflows through MCP tools.

Equips AI assistants and MCP clients with software development tools for deep research, codebase mapping, context curation, and multi-step workflow execution. It also generates product requirements documents, user stories, task lists, and fullstack starter projects.

Equips MCP-compatible AI assistants with tools for deep research, requirements and PRD generation, codebase mapping, context curation, task management, and fullstack starter-project scaffolding. It supports CLI, REPL, and server modes so developers can drive software development workflows through natural-language commands.

60-rule static security scanner and MCP skill poisoning auditor that detects leaked secrets, unguarded API routes, missing database RLS, and prompt injection in AI-generated codebases.

Enables AI assistants to research, plan, generate requirements and user stories, scaffold starter projects, map codebases, manage tasks, curate context, and run multi-step software-development workflows through MCP-compatible clients.

An MCP server that enables AI agents to control a real Google Chrome instance using specific user profiles, cookies, and extensions. It provides 18 tools for browser navigation, element interaction, and page inspection via the Chrome DevTools Protocol.

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 AI assistants to research topics, analyze codebases, generate requirements and user stories, scaffold starter projects, and run multi-step development workflows through natural language.

Enables AI assistants to conduct deep research, map codebases, curate context, generate requirements/user stories/task lists, scaffold full-stack starters, and execute multi-step workflows.

Universal MCP server for WordPress & WooCommerce, enabling AI agents to execute PHP, extract product attributes, and manage 38 builders/plugins with a WSOD-safe sandbox and persistent project memory.

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.