"Tools for Local File Read and Write in Minecraft Coder Pack (MCP)" matching MCP servers:

Read-only MCP server for ClickUp that enables querying workspace hierarchy, task trees, activity history, comments, and time entries without any write capabilities.

Local MCP server for Jira Server/Data Center providing read-only tools and queued write operations that require manual approval via a local web UI.

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.

Provides task and project management tools for AI agents, including todo list management, prioritization frameworks like Eisenhower Matrix and RICE scoring, time estimation using PERT, daily standup generation, and sprint burndown calculation.

A local STDIO server that exposes Redmine REST API as MCP tools, allowing MCP clients to browse Redmine projects and tickets.

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.

Local MCP server for interacting with a self-hosted Plane Community Edition instance. Enables listing projects, issues, states, labels, cycles, and updating issues via natural language.

A local STDIO server that exposes OpenProject API v3 as MCP tools, allowing MCP clients like Codex CLI and GitHub Copilot CLI to reference projects and work packages.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Enables AI agents to browse and inspect a connected Todoist account, listing projects, sections, labels, and active tasks with optional project or filter-query scoping, plus full details for any single task. Supports both a hosted gateway endpoint and a standalone local stdio server.

Centralized MCP server for spec-driven AI agent workflows, enabling isolated feature management, task tracking, and implementation with handoff and archiving capabilities across multiple projects and developers.

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 fast, local-only read access to Linear data via the macOS cache, allowing listing, searching, and filtering issues, users, teams, and states without API calls.

Implements a structured development workflow for LLM-based coding with feature clarification, PRD generation, phased development, and task tracking. Guides LLMs through organized feature development from requirements gathering to completion with document storage and progress monitoring.

Wraps Teambition Open Platform v3 API as MCP tools for batch task creation, enabling n8n workflows to search projects, manage members, and create tasks.

A modular multi-server architecture providing development automation, JIRA management, and performance reporting for Claude Code. It features specialized tools for PR health analysis, code reviews, and generating comprehensive team and individual quarterly reports.

A local-first CRM that exposes customer and project management tools via the Model Context Protocol (MCP), including an analytics server. It integrates seamlessly with Claude Code or a custom LlamaIndex ReAct agent.

Provides access to Upvote.club public API via stdio, enabling task creation, status checking, platform listing, and API reference queries.

Enables interaction with the Upvote.club Public API for task management, including creating, deleting, and checking task status, as well as listing platforms and API reference.

A local MCP server that connects Claude Desktop, Claude Code, and Claude Chat to your Azure DevOps organization, enabling querying work items, reviewing pull requests, triggering pipelines, searching code, managing test plans, and updating wikis using plain language.