"Guidance on WordPress Theme Development" matching MCP servers:

A Model Context Protocol server that provides AI assistants with comprehensive access to WordPress.org Trac data, enabling intelligent queries about WordPress development, ticket tracking, and code changes.

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.

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.

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.

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.

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

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.

Provides construction-supervision tools for small-to-medium building projects, including stage guidance, inspection checklists, progress tracking, next-stage recommendations, and quotation analysis. It enables local, standards-based MCP interaction over stdio without third-party MCP SDKs.

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.

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

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.

Facilitates software development planning through interactive sessions that break down projects into manageable tasks with complexity scoring, code examples, and implementation plan management.

Enables AI assistants to fetch ProofHub task details, comments, and bug tracker links from a URL, streamlining development workflows.