找到适合你的 MCP Server，快速完成接入

Enables hierarchical task planning and execution through recursive code and analysis subagents. Provides a planner tool that decomposes complex tasks and delegates them to specialized subagents with session-aware persistence.

This Model Context Protocol server enables AI assistants to interact directly with Ansible, allowing them to execute playbooks, manage inventory, check syntax, and perform other Ansible operations.

Advanced Model Context Protocol server that integrates Gemini AI with Tailwind CSS, providing intelligent component generation, class optimization, and cross-platform design assistance across major development environments.

Async MCP server for running long-running AI tasks with real-time progress monitoring, enabling users to start, monitor, and manage complex AI workflows across multiple models.

A template for building Model Context Protocol servers that allow AI assistants to interact with custom data and services through queryable resources and specialized tools.

A Model Context Protocol server that enables LLMs to interact with user and task data through JSON-RPC, offering tools like user management, task creation, and search functionality.

Enables time tracking and reporting through Toggl Track integration with intelligent caching. Supports starting/stopping timers, generating daily/weekly reports, and managing projects with structured JSON output for automation workflows.

A Model Context Protocol server providing tools for DB queries, API calls, file I/O, and text transformations, enabling AI agents like Claude to perform real-world actions.

A Model Context Protocol server enabling AI assistants to interact with TriliumNext notes, providing tools for creating, searching, reading, and updating notes in your knowledge base.

Implementation of the Model Context Protocol for Unity Editor, allowing AI assistants to interact with Unity projects through a Node.js server bridge.

Enables AI assistants to interact with Unity Editor through the Model Context Protocol, allowing natural language control of Unity projects including scene manipulation, GameObject creation, component updates, package management, and test execution.

Enables AI assistants to analyze Java and Web projects, automatically generate unit tests (JUnit) and end-to-end tests (Selenium), and execute them directly through Maven or NPM commands.

A collection of tools that enhance MCP-based workflows with caching, retry logic, batch operations, and rate limiting capabilities.

A comprehensive utilities library for building Model Context Protocol servers, providing standardized tools for response formatting, caching, rate limiting, logging, and WebSocket management.

A lightweight AI agent that fetches real-time weather alerts for any U.S. state using the National Weather Service API.

Implements a Model Control Protocol server integrated with Google Gemini LLM, providing a flexible framework for building AI-powered applications.

Enables AI assistants to interact with WooCommerce stores through 37 specialized tools for managing products, orders, customers, categories, and coupons. Includes n8n webhook integration for automated e-commerce workflows and is optimized for Docker deployment on EasyPanel.

Enables AI agents to programmatically inspect, test, and validate other MCP servers by exposing MCP Workbench capabilities as structured tools. It supports automated test spec generation, execution, and detailed failure analysis to ensure server reliability.

Enables WhatsApp automation through MCP protocol, allowing users to manage sessions, send messages, handle groups/communities, and access contacts through natural language interactions with AI agents.

Enables LLM agents to control a Philips XL30 ESEM microscope by exposing tools for imaging, beam adjustment, and vacuum chamber operations. It features a safety envelope to regulate sensitive parameters like high tension and stage motion.