"Resources and Information about C# Programming in Unity" 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.

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.

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 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 comprehensive management of OpenProject work packages, projects, comments, and relations through natural language. Supports creating, updating, and organizing tasks with assignees, watchers, hierarchies, and inter-task relationships.

Goodday‑MCP is a lightweight Model Context Protocol (MCP) server designed to seamlessly integrate with the Goodday project management platform via its API v2. It enables querying of projects, tasks, and users—without altering any data—making it ideal for secure context-aware applications

MCP server for Linear that allows creating issues, adding comments, and listing issues and teams.

Enables AI coding agents to read an allowlisted monday.com board and propose changes, while writes require a frozen column contract and human approval before being committed. The monday API token never leaves the server.

A Model Context Protocol (MCP) server for Hubstaff API integration, enabling seamless time tracking, project management, and team collaboration through AI assistants.

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.

Gives AI assistants read access to SDLC project artifacts stored in Supabase, enabling natural language queries about projects, artifacts, screens, and tech stacks, with optional IT cost estimation via Vertex AI Gemini.

A minimal MCP server that demonstrates the entire protocol using a simple in-memory todo list, including tools, resources, prompts, and elicitation.

MCP server integrating OBSS Timepiece Time in Status for Jira, enabling queries about issue durations, status histories, and aggregated metrics via natural language.

A read-only MCP server that gives LLM agents deterministic operational facts about Trello boards, including structural history, card movement, workflow flow, staleness, and due-date information.

MCP server for parsing, querying, and analyzing Primavera P6 XER files with 13 tools, 3 resources, and 2 prompts.

Enables fetching and viewing Jira issue details directly through Claude Desktop using secure API token authentication. Provides comprehensive issue information including status, assignee, priority, and descriptions in both human-readable and structured formats.

MCP server for accessing and managing Linear resources like issues, projects, and comments with full CRUD operations and search.