"Viber" matching MCP servers:

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.

Enables AI assistants and MCP-compatible clients to research, plan, generate requirements, analyze codebases, manage tasks, create user stories, and scaffold full-stack starter projects through specialized development 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.

Enables AI assistants to research topics, generate product requirements and user stories, map codebases, curate context, scaffold full-stack starter projects, and run multi-step development workflows.

Extends AI assistants with software development capabilities such as deep research, codebase analysis, requirements and user-story generation, project scaffolding, context curation, task management, and multi-step workflow execution.

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

Enables AI assistants to research, plan, generate requirements and user stories, map codebases, scaffold starter projects, and run multi-step development workflows.

Equips MCP-compatible AI assistants with software development tools for research, codebase mapping, context curation, PRD/user-story/task generation, full-stack scaffolding, and multi-step workflow execution.

Enables AI assistants to perform software development tasks such as deep research, codebase analysis, requirements and user story generation, task management, and full-stack project scaffolding.

Enables AI assistants to research, plan, generate requirements, map codebases, create starter projects, manage tasks, and run multi-step software development workflows through MCP tools.

MCP server that provides project guardrails including prior art research, project status checks, next task retrieval, and quality gate enforcement for AI-assisted development.

Enables AI assistants to research topics, plan and generate software requirements, manage development tasks, analyze codebases, and scaffold full-stack starter projects through integrated development tools.

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

Persistent memory and task board for Claude Code. 14 tools spanning projects, tasks, sessions, and activity logs — backed by Firestore, runs on the free tier. Handoff notes survive context compaction; the next session reads the last handoff and picks up where you stopped.

MCP server that bridges AI coding assistants to Vibe Kanban, enabling task, session, and queue management without leaving the coding environment.

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 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.

Enterprise-grade MCP server for Vibe APIs, enabling AI agents to manage projects, repositories, buckets, and retrieve activity data.

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 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.

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.

Enables AI assistants to research topics, map and analyze codebases across 35+ languages, curate context, and generate requirements documents, user stories, task lists, and full-stack starter projects. It also supports multi-step workflow execution and AI-native task management through a CLI, interactive REPL, or MCP client integration.

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

Equips AI assistants such as Cursor, Cline AI, and Claude Desktop with software development tools spanning deep research, codebase mapping, context curation, PRD and user-story generation, task management, and fullstack starter-kit scaffolding. It also offers a CLI, interactive REPL, and multi-step workflow execution for planning and building projects from natural-language prompts.

Enables AI assistants to research topics, map and analyze codebases, curate context, and generate PRDs, user stories, task lists, and fullstack starter projects through natural language commands or an interactive CLI/REPL. It also provides AI-native task management and multi-step workflow execution.

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

Equips AI assistants and MCP clients with software development tooling for deep research, codebase mapping, PRD and user story generation, project scaffolding, and multi-step workflow execution. It also provides AI-native task management and context curation, usable through an MCP server, a natural-language CLI, or an interactive REPL.

Equips AI assistants and MCP-compatible clients with software development tools for deep research, requirements and PRD generation, user stories, task lists, codebase mapping, context curation, and full-stack project scaffolding. It also runs multi-step workflows and AI-native task management over stdio or SSE transports.

Enables AI assistants to research, plan, and generate software requirements, user stories, task lists, starter projects, and codebase maps through specialized development tools. It also supports intelligent context curation, AI-native task management, and multi-step workflow execution.

Implements a structured development workflow for LLM-based coding with feature clarification, PRD generation, phased development, and task tracking. Guides LLMs through organized feature development from requirements gathering to completion with document storage and progress monitoring.

A Model Context Protocol server that enables seamless integration between Cursor IDE and JIRA, allowing users to retrieve issues, execute JQL searches, and log work through natural language interactions.