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

Enables reading entire nested ClickUp subtask trees in a single call, plus task, list, folder, comment, tag, and time-tracking operations through natural language.

Exposes the full Asana REST API via an MCP server, enabling operations like task management and workspace queries, with configurable safety guardrails.

Exposes the qa_agent_status tool that reports configured integrations and the latest QA metric for the Website QA Agent.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

A todo list MCP server with Tools, Resources, and Prompts, demonstrating MCP features and compatible with DeepSeek and Claude Code.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

Integrates Zoho Projects, Git, and SonarQube to automate task management, branch creation, code quality checks, and reporting for React developers.

Automates the creation of React Three Fiber game projects with various templates (platformer, puzzle, endless runner, physics-based, arcade) and integrates with Linear for automated project management including sprints, tasks, and acceptance criteria.

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 to track and manage product development projects through structured 7-phase lifecycles with sprint tracking, role-based collaboration, and multi-project support. Provides phase management, progress tracking, and team coordination tools for complete product development workflows.

Provides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

Provides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members.

Enables specification-driven development workflows for AI editors by managing structured project specifications through stages like requirements, design, and tasks.

Enables AI coding agents to orchestrate the full software development lifecycle on GitHub, including planning, issue creation, code review, security triage, and release readiness checks.

Provides plan state management and phase gate enforcement for AI development loops. It tracks task progress and coordinates the lifecycle of agents by requiring specific evidence before advancing through development phases.

Provides structured spec-driven development workflow tools for AI-assisted software development with sequential spec creation (Requirements → Design → Tasks). Features a real-time web dashboard for monitoring project progress and managing development workflows.

Enables AI clients to interact with Webvizio projects and development tasks through a standardized interface. Provides access to task management, screenshots, logs, and project details for streamlined development workflows.