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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.

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.

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.

MCP Upbank

全面解析MCP UpbankMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP Upbank能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

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.

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.

MCPX is a remote-first MCP aggregator that enables zero-code integration, unified access, and dynamic routing across multiple MCP servers. It offers tool-level access controls, usage visibility, and customization to streamline and secure agentic workflows.

Markdown collaboration for AI workflows. Share markdown via public links with four permission levels, inline comments, and real-time sync. AI agents can read docs, review comments, incorporate feedback, and resolve threads. Free, no login.

A protocol server that enables programmatic interaction with Medium's content ecosystem, allowing for intelligent content retrieval and context-aware analysis.

Medical terminology MCP server — ICD-10, MedDRA, RxNorm, CTCAE for AI agents

Enables AI agents to store and retrieve memories with user-specific context using Mem0, allowing them to maintain conversation history and make informed decisions based on past interactions.