"Allowing an AI agent to ask user questions during a task" matching MCP servers:

Enables AI models to ask users questions through a local web interface, supporting batch questions, multi-select, and free text for human-in-the-loop interactions.

Lets Claude Code conduct long, structured interviews via a keyboard-driven local web form, with unlimited questions and options, recommendations, ranking, previews, and live follow-up questions.

MCP server that enables Claude to pause and ask clarifying questions via Emacs.

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.

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

Provides tools for coordinating AI agent work on one machine through a local SQLite-backed queue and kanban, including task creation, atomic claiming, lease renewal, completion/failure, listing, comments, and cancellation.

Enables AI coding agents to file and track issues, plan epics with steps, comment as they work, and hand decisions back to the user through a local Markdown- and YAML-backed issue tracker.

An autonomous task decomposition and execution agent that plans, executes, verifies, and commits code changes for engineering goals.

Enables a weaker agent to consult a bare frontier model over any OpenAI-compatible endpoint on demand, enforcing when to ask, how to ask in self-contained form, and how to verify and arbitrate the returned hypothesis. It also supports auditing an artifact against a checklist into a structured defect list with a verdict, plus optional read-only server-side evidence gathering for follow-up rounds.

Enables AI agents to control a Live2D desktop pet's expressions and actions via MCP protocol.

Provides a self-hosted shared work queue for AI agents via MCP, using a local SQLite database for task management.

Enables Claude to send questions via Telegram and receive answers from your phone, bypassing terminal popups.

Central user-state database MCP server with durable profile facts and live virtual sensors (stress, room intensity) with configurable smoothing, readable by any agent or smart-home service.

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.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Local MCP server that connects VS Code agents like Cline to OpenAI and provides workspace file tools (read, write, list) with restricted file access.

An MCP server for external computer-use that launches, observes, and interacts with any X11 application via AT-SPI2 accessibility tree and xdotool input injection.

Enables AI agents to access and interact with a Discord user account via the Discord client API, allowing them to read servers, channels, DMs, mentions, and message history, and optionally send messages and perform other actions.

Enables users to manage tasks through a simple JSON file interface. Provides basic task management functionality by reading and writing to a configurable tasks.json file.

Enables AI agents like Claude to interact with Figma designs through 50+ tools for creating, styling, and manipulating design elements, components, and variables via a WebSocket relay and Figma plugin.

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.

Gives a remote MCP client one read-only tool for asking a locally running Hermes Agent short questions, answered with that machine's own memory and session context, over bearer-authenticated Streamable HTTP. It exposes no terminal, file writes, messaging, or other action capability, and every other request is refused upstream of the model.

Provides a task passport system for handoff across AI harnesses, enabling users to list, open, create, and checkpoint tasks with stable IDs and verified state.

Enterprise support memory agent that remembers customer context across sessions, retrieves relevant memories, and forgets stale facts to reduce re-ask rates.

It enables AI agents to call a small set of reliable, permission-aware tools generated from an existing website through the Model Context Protocol, without rebuilding the site.

Enables safe, AI-driven CATIA V5 modeling through 36 guarded tools for creating and inspecting parametric CATParts, including sketch, part design, GSD/surface, and transaction operations, while preventing mutation of existing documents.

Enables real-time user intervention for MCP agents via a Web UI and interactive_feedback tool, allowing users to review context and send instructions when agents drift from intent.

Enables task management through MCP tools, resources, and prompts, backed by a PostgreSQL database.

Exposes an agent orchestration task queue as an MCP tool interface, allowing agents to submit, list, get, and update tasks with typed validation.

Provides AI coding agents with a read-only live view of a project's task state, including progress, blockers, and evidence, via zero-token conditional polling and an optional widget for rendering a dashboard card.