"Resources and Information on Web Development" matching MCP servers:

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.

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 assistants to create and manage visual automation configurations, workflows, and UI states through the Qontinui API. It supports project management, workflow execution, and configuration handling for automated web interactions.

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.

On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.

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.

MCP server for self-hosted qTest Manager, enabling natural-language management of projects, modules, test cases, requirements, traceability, and test execution via the qTest REST API.

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.

Enables comprehensive Trello integration via MCP, supporting boards, lists, cards, comments, labels, members, checklists, search, and attachments, deployed on Cloudflare Workers.

MCP server for Azure DevOps Server 2022 (on-premises) that enables AI assistants to interact with work items, repositories, builds, and sprints through 29 tools.

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 assistants to interact with an on-premise Azure DevOps Server 2022, allowing users to list, view, create, and update work items through natural language.

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.

MCP server for on-premises Azure DevOps that lets AI assistants browse repositories, review pull requests, manage work items, and interact with wikis, with NTLM authentication support.

An MCP server for managing Tempo worklogs in Jira, allowing users to track time, retrieve logs, and perform bulk operations via natural language. It integrates with the Tempo API to support creating, editing, and deleting work entries through MCP-compatible clients like Claude and Cursor.

Enables AI workflows and coding agents to validate a hosted setup, discover actual provider tools, and execute reviewed calls through authenticated PipMCP connections with policy, approval, and usage safeguards.

Enables proof-carrying project execution through a read-only remote MCP endpoint and WebMCP tools for managing Project Passports, task graphs, evidence-backed provider comparisons, route approvals, artifacts, verification records, and checkpoints without executing external providers.

Fast native Swift OmniFocus MCP server and CLI for macOS. Let AI assistants safely read, update, complete, and organize tasks and projects through documented Omni Automation APIs.

Enables coding agents to prepare a hosted connector, discover actual tools, and make authenticated calls under workspace policy and approval controls.

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.

Session-based development workflow MCP server for Claude Code that structures tasks into sessions with plans, progress tracking, and archiving for context resumption.

Provides LLMs with structured workflow guidance and next-step instructions for development procedures, ensuring consistent practices across projects.

Kanban for agentic development over MCP — annotate any UI element into a ticket with file and line.

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

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.

An MCP server that helps AI agents plan and track software projects using the Conducted Development methodology, providing artifact validation, kickoff guidance, and project rituals.

DevsContext is an MCP server that provides AI coding agents with synthesized engineering context—requirements, decisions, architecture, and standards—from tools like Jira and Slack. It fetches and synthesizes relevant information on demand to help agents work on tasks correctly.

Provides todo management capabilities, allowing AI agents to add, list, and complete tasks via MCP tools, resources, and prompts.

Enables Claude to interact with LifeUp Cloud API on your local network for task management, achievements, and user information. Supports 20 tools including creating, editing, and querying tasks, achievements, and shop items.

Enables natural language control of OmniPlan 4 on macOS, allowing creation and manipulation of tasks, resources, dependencies, and project metadata through MCP-compatible agents.

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 coding tools to follow a structured spec-driven development workflow with three phases: requirements, design, and tasks, ensuring approval before advancing.

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.

Connects AI agents to the Ploomes CRM REST API, exposing 56 tools for managing contacts, deals, tasks, pipelines, interactions, quotes, orders, products, fields, users, and account information.

Enables AI assistants to manage COR project management platform resources like projects, tasks, hours, clients, teams, and users through natural language.

Enables LLM agents to manage structured sprint-based development workflows following the Sprint Protocol, including sprint initialization, status checking, and manifest generation.

MCP server providing feedback-oriented development workflows with a Web UI and desktop application for interactive user confirmation, session tracking, and smart prompt management.