"Someone with knowledge of AWS and CDK" matching MCP servers:

Provides centralized knowledge management for projects, allowing users to store, search, and maintain project-specific knowledge that persists across sessions.

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.

Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.

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.

A powerful MCP server for interacting with Trello boards, lists, and cards via AI Hosts.

Manages projects, requirements, and knowledge entries with full-text search via SQLite FTS5. Provides 19 MCP tools for AI assistants to create, update, search, and delete project data.

Enables AI-powered task management in OmniFocus with support for project reviews, planned dates, repeating tasks, custom perspectives, hierarchical subtasks, and advanced filtering. Perfect for Claude AI integration with comprehensive CRUD operations for tasks, projects, and folders.

Enables seamless Jira integration through browser-based OAuth authentication, providing tools for issue management, JQL search, and project access without manual API token configuration.

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.

An MCP server that automates HR onboarding tasks including employee management, email, ticketing, meeting scheduling, and leave management, enabling AI agents to handle new-hire workflows from a single prompt.

A comprehensive MCP server for Jira, Confluence, and Bitbucket that supports both Cloud and Data Center deployments. It provides 136 tools for managing issues, searching documentation, and handling Git workflows like pull requests and pipelines.

A production-ready Model Context Protocol (MCP) server that extends GitHub Copilot with GitHub repository management capabilities. Enables AI-driven issue tracking, repository information retrieval, and seamless GitHub integration.

An MCP server that enables AI assistants to interact with Atlassian Jira and Confluence across Cloud and Server/Data Center environments. It supports tasks like searching and summarizing documentation, managing Jira issues, and creating content through natural language.

A system integrating two independent MCP servers for Google Calendar and Google Tasks APIs, orchestrated by an LLM agent loop with a web dashboard.

Enables AI agents to search, fetch, create, update, comment on, and resolve ServiceNow incidents using the caller's own bearer token, so all actions respect the token owner's ServiceNow ACLs.

Exposes a FastAPI task management REST API as MCP tools, enabling an LLM client to list, create, get, complete, and delete tasks via natural language.

Enables Gemini CLI and other AI assistants to manage todos (create, read, update, delete, filter) through natural language commands via the Model Context Protocol.

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