"React Query" matching MCP servers:

Multi-interface task management system that enables AI agents and users to manage hierarchical tasks (projects, task lists, tasks) with dependency tracking, tags, and search through MCP Server, REST API, or React UI.

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.

Integrates Zoho Projects, Git, and SonarQube to automate task management, branch creation, code quality checks, and reporting for React developers.

Complete MCP server for Wrike project management with 70+ tools and 20 interactive React apps, enabling task, project, and workflow management via natural language.

Automates the creation of React Three Fiber game projects with various templates (platformer, puzzle, endless runner, physics-based, arcade) and integrates with Linear for automated project management including sprints, tasks, and acceptance criteria.

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.

A comprehensive integration providing 96 tools and 18 interactive React apps for full Trello API coverage, including board management, card operations, and workflow analytics. It enables users to perform complex project management tasks and visualize workspace data through a production-ready interface.

Enables AI assistants to extract and query Obsidian Tasks from markdown files, supporting task metadata and advanced filtering via Obsidian Tasks query syntax.

Enables AI assistants to run the real Obsidian Tasks query language against a Markdown vault via MCP, supporting filters, relative dates, dependencies, grouping, sorting, and query explanations without requiring Obsidian to be running.

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.

A local-first Kanban system with MCP tools for AI agents to manage tickets, features, and tasks, paired with a React UI for human users.

Provides comprehensive access to the FieldEdge field service management platform through over 87 tools and 16 React applications. It enables users to manage customers, jobs, scheduling, and invoicing through natural language or integrated UI components.

An MCP server for managing tickets and meetings with CRUD operations, backed by PostgreSQL, and includes a REST API and React frontend.

Enables Claude Code to query, create, and modify Dooray tasks via natural language.

Enables AI agents to query live construction project data such as RFIs, submittals, budget variance, daily logs, punch lists, and inspection checklists.

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.

A minimal todo app MCP server for ChatGPT that exposes tools for managing tasks and provides an interactive HTML widget interface. It demonstrates how to build MCP servers with React-based UIs and includes development OAuth for ChatGPT connector setup.

A self-hosted synchronization hub for frontend and backend teams using Cursor, enabling publishing and reading of shared project state with a local React dashboard.

Wraps UOF (U-Office Force) SOAP/ASMX WebServices as MCP tools, enabling AI agents to perform enterprise workflow tasks like form query, application, approval, and case closure via Model Context Protocol.

Enables Claude to query your local TimeScribe time tracking database read-only, listing projects and returning work, break and scheduled hours per project or day, plus individual entries and the live running timer, without exporting CSVs. All data stays on your machine with no network access.