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A Model Context Protocol server that enables AI assistants to request user feedback at critical points during interactions, improving communication and reducing unnecessary tool calls.

A Node.js/TypeScript MCP server that facilitates interactive communication between LLMs and users, allowing AI assistants to request user input, display notifications, and manage command-line chat sessions.

MCP server for managing interactive processes, enabling AI agents to start, interact with, and terminate long-running programs like SSH sessions, REPLs, and installers via read/write operations.

A Model Context Protocol server that enables AI assistants to interact with iOS simulators, perform accessibility testing, manage apps, and automate complex iOS workflows.

Enables comprehensive control of iOS simulators and real devices through AI assistants, supporting app management, UI automation, screenshots, media operations, and location simulation for iOS development and testing workflows.

A Model Context Protocol server that enables AI assistants to create, issue, and manage digital badges and certificates using natural language.

Enables AI assistants to interact with Istek API Client for managing workspaces, collections, environments, variables, and request history. Allows natural language control of API development workflows including creating collections, adding requests, and managing environment configurations.

An MCP server that enables AI assistants to control iTerm2 sessions, windows, tabs, and profiles using the official iTerm2 Python API. It includes a security model with session tagging and tiered permissions to ensure safe and controlled terminal interactions.

An auto-generated Multi-Agent Conversation Protocol Server that enables interaction with the IX-API (Internet Exchange API) through natural language, allowing for management of interconnection services in data centers.

全面解析Stack Exchange MCPMCP 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，Stack Exchange MCP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。

Enables AI assistants to interact with Jamf Pro for comprehensive Apple device management, including device inventory, policy deployment, configuration profiles, script execution, and compliance reporting.

Durable, agent-native AI runtime with native MCP client and server support. Rust core for performance with Python SDK for workflow authoring. Features graph-based workflows, durable execution, A2A protocol support, and multi-agent coordination.

Integrates Claude with n8n and Supabase to provide semantic memory search, automated workflow orchestration, and multi-platform task creation. It enables persistent interaction storage and autonomous agent capabilities through a production-ready HTTP interface.

Сonnects to live JVMs via JDWP protocol, enabling LLM agents to autonomously debug Java applications — attach to a running process, pause threads, set breakpoints (including conditional), inspect stacks with auto-resolved object fields, evaluate methods, set variable values, and diagnose issues like deadlocks and hung queries.

A multi-functional AI agent with an Arabic legal chatbot, Google search capability, and a VAE model that generates handwritten digit images.

全面解析MCP Server PluginMCP 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 Server Plugin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。

Integrates Apache JMeter with AI assistants to run and manage load tests through natural language. It enables users to execute test plans, parse results, inspect test structures, and compare performance metrics across different runs.

全面解析MCP Local SpecMCP 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 Local Spec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。

MCP server for the JouleScope JS220 precision energy analyzer, enabling agents to measure current, voltage, power, charge, and energy via tools like measure_energy.

Enables intelligent workflow automation for JD's FOP platform, supporting PRD analysis, code generation, and flowchart creation with smart retrieval optimization and standardized file naming rules.