"Redash: Open-source Data Visualization and Query Tool" 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.

An MCP server for Dart AI task management that enables bulk operations using DartQL selectors to minimize token usage and context rot. It provides tools for batch updates, task and document CRUD, and safe CSV imports with integrated dry-run capabilities.

Enables construction teams to create local projects, record sourced field evidence, run deterministic quantity calculations, and draft daily logs, estimates, and change orders with visible assumptions and human approval gates. Keeps all data local and portable with no external side effects.

Enables filtered, read-only querying of a Notion audit trail and action queue as four native tools (filtered lists and single-row lookups), with enum parameters validated against the live database schema and errors that report allowed values. It never writes to Notion, returns flat JSON rows, and keeps the integration token server-side.

Enables an agent client to build a single-day shop handover plan and check whether entered tasks have coverage, surfacing exact time overlaps and other blockers that prevent a workable handover. Supports version-checked assignment, simulated helper acceptance, cancellation, time correction, and scope confirmation, reopening affected duties when a helper drops out while leaving the rest intact.

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.

Provides MCP tools for AI agents to create and read decision decks, propose cards and build plans, and retrieve finished tasks, enabling local decision review workflows with portable task handoffs.

A Model Context Protocol (MCP) server that connects AI assistants to Jira Server/Data Center, enabling issue management, JQL search, sprint tracking, and natural language interaction with Jira.

Project management CLI + MCP server for AI agents. Register projects once, open them anywhere, sync to S3, auto-init git, and wire into the hasna ecosystem.

An MCP server that facilitates interactive software development planning by breaking down projects into manageable tasks, tracking progress, and saving implementation plans.

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.

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

Facilitates interactive software development planning by managing tasks, tracking progress, and creating detailed implementation plans through the Model Context Protocol.

A Python MCP server that retrieves requirements and bug data from TAPD platform to provide AI clients with project management information.

Enables users to manage projects and retrieve random wallpapers through a TypeScript-based MCP server. Supports project queries, creation, and Bing wallpaper retrieval with Spring Boot-style architecture.

An AI-native HR Management System that lets users manage employees, leave, meetings, tickets, and email through natural conversation.

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.

A plugin-oriented Jira capability kernel for AI models, providing 24+ tools for Jira operations including issue search, comments, transitions, and project analysis via a dispatcher and HTTP service.

Enables Claude to interact with Jira through JQL (Jira Query Language) queries using the Model Control Protocol, allowing natural language access to Jira issue tracking and project management.