"Search for HITL (Human-in-the-Loop or other possible acronyms)" matching MCP servers:

Routes tasks from AI agents to human workers via webhook providers with smart matching, fallback chains, and proof-of-completion tracking.

A loop-aware MCP server for your own ComfyUI that enforces a build-run-look-critique-fix cycle, making the model iterate on pixel quality until the output matches the brief.

feedback-loop-mcp

Compute Human Design charts, cycle returns, transits, synthesis, and chart comparison natively inside AI assistants.

Enables AI-moderated interviews that become cited, searchable transcripts, with a repository Q&A tool that returns exact transcript quotes.

Persistent memory and pattern learning for AI coding assistants via MCP.

Enables users to view and edit Microsoft Loop pages as interactive markdown widgets directly within the chat interface. It supports inline rendering and provides tools for requesting page updates through a host's Loop MCP server.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

An MCP server that automates the full software development lifecycle through an AI-driven TDD state machine. It handles everything from task decomposition and test-driven development to integration testing and automated pull request creation.

Enables users to have Korean manuscripts proofread for readability while preserving facts, quotes, and the author's voice. It also provides readability scoring, original-versus-edited comparison, and style-preserving rewriting suggestions.

Enables AI agents to join ephemeral collaborative chatrooms, read room context, poll messages, publish findings, and update their status alongside human participants.

MCP server for controlling satellite ground station operations in the Trench simulation, including pass management, downlink control, and antenna pointing.

The Search MCP Server enables seamless integration of network and local search capabilities in tools like Claude Desktop and Cursor, utilizing the Brave Search API for high-concurrency and asynchronous requests.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

A goal-agnostic parallel orchestration framework that enables sophisticated multi-agent coordination for tasks like code generation, UI development, and research through specification-driven architecture. It utilizes wave-based generation and intelligent context management to execute complex, iterative agentic loops.

A self-hosted, MCP-native web-search backend for AI agents that provides meta-search, clean extraction, RAG with citations, and GitHub project selection.

Aggregates multiple MCP services into a single unified interface with self-configuration capabilities, enabling dynamic addition and removal of tools via conversation.

Enable Claude (or any other LLM) to interactively debug your code (set breakpoints and evaluate expressions in stack frame). It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode.

A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.

Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.