"GSK" matching MCP servers:

Enables agents to ask users questions through rich, browser-rendered HTML forms and receive structured answers, supporting approvals, choices, free-text, and form inputs.

Enables any MCP-compatible AI agent to ask humans questions in real time via a mobile-friendly PWA with push notifications, operating local-first without third-party services.

Enables building LangGraph projects by editing a structured YAML spec, with MCP tools for scaffolding, adding nodes/edges, validating, and deterministically rendering Python graph code.

Enables AI agents to create temporary email addresses, receive confirmation emails, and extract verification links, automating sign-up and email verification workflows without manual intervention.

Enables coding agents to request guarded code and architecture reasoning from multiple AI models through a single MCP server, with modes for direct answers, parallel councils, ordered chains, and structured debates, plus reusable context and audit tracing.

An autonomous MCP server that uses the Claude Code CLI to solve coding problems without permission prompts.

Enables users to request a second opinion from a locally authenticated Claude Code model via MCP tools, supporting asynchronous jobs with restricted tools for safety.

Enables AI assistants to request human input through a web interface during execution. Supports single questions, multiple choice selections, hypothesis challenges, and decision workflows for human-in-the-loop interactions.

Enables AI agents to automate real desktop applications across Windows, Linux, and macOS using incremental screen perception, accessibility trees, OCR, and window management, dramatically reducing token usage compared to screenshot-per-step approaches.

Provides access to multiple AI models (Grok, Gemini 2.5 Pro, Kimi, Qwen3 Coder, GLM-4.5) through OpenRouter, enabling users to query different specialized models for reasoning, coding, translation, and general tasks with automatic fallback to free variants.

Enables Codex to clarify requirements via native MCP elicitation controls, supporting single/multiple-choice and free-text questions with recommended answers and a discuss-first option.