"Full-Stack MEAN CRUD Development" matching MCP servers:

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.

Enables an AI agent to manage Jira Stories in a self-hosted Jira instance via the Jira REST API v2, including CRUD operations, workflow transitions, and burndown data retrieval.

Exposes 3 meta-tools to efficiently search and execute 174 backend CRUD tools, reducing context token usage by ~98%.

it is a simple to-do list CRUD MCP Server

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.

MCP server for managing AIProject tasks and projects, providing CRUD operations for projects, tasks, and assignments with API key authentication.

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.

A dual-mode MCP server for integrating Feishu/Lark project management, enabling task CRUD, advanced filtering, and seamless integration with AI assistants and automation workflows.

Enables AI agents to manage ClickUp tasks, spaces, lists, and folders through natural language, supporting CRUD operations and workspace navigation.

Enables AI assistants to manage Jira issues with full CRUD, transitions, linking, commenting, and file attachments via the Jira REST API v3.

Enables MCP clients to manage Google Tasks via stdio, including CRUD on task lists and tasks, toggling completion, sorting/moving, and bulk-hiding completed tasks.

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.

Enables AI assistants to manage Toggl Track time entries, projects, and workspaces through natural language, supporting CRUD operations and past date time slots.

Enables Cursor IDE to directly interact with OpenProject through the Model Context Protocol, supporting CRUD operations on projects and work packages.

Enables AI agents to inspect and update Trello boards via the Trello REST API, supporting actions like reading boards, lists, cards, and performing CRUD operations on cards and checklists.

MCP server enabling AI agents to manage PLANKA kanban boards with full CRUD support for cards, tasks, labels, comments, and lists.

A Python MCP server that enables AI assistants to manage Todoist tasks and projects through the Model Context Protocol. It supports full CRUD operations for tasks and projects, including support for nested projects and Todoist's advanced filter syntax.

MCP server providing CRUD operations for timesheet management via REST API endpoints, enabling creation, reading, updating, and deletion of timesheet entries along with project management.