KI steuert Cubase verifiziert ueber das Mackie Control Protokoll — MCP-Server mit Closed-Loop-State, ~450 Cubase-Commands und MIDI-Note-Recording.

MCP server that closes the feedback loop for AI coding agents — CI results, deployments, test outcomes, file changes

MCP guard & vibe coding security tool for Cursor and Claude Code. Fail-closed human-in-the-loop approval for shell commands and MCP tools—local daemon, YAML policy, no cloud.

DingTalk sister MCP service of intent-gate: group consensus channel + blocking human-decision gates for requirement intent alignment. Optional — the main plugin closes the loop alone; this posts the questions to the people who should answer them.

Auditable deterministic reasoning MCP server (non-LLM). World-graph → A* auditable reasoning → execution → learning loop. Fail-closed: an unchecked claim is never returned as passed. Free for non-commercial agent use.

Closed-loop, state-verified Windows automation runtime for AI agents — from EDA and CAD to any desktop application.

Unified MCP toolkit for TouchDesigner - gives any AI agent live network control, 630-operator knowledge base, and a closed visual feedback loop

Closed-Loop Analog & RF Circuit Engineering Framework for AI Agents (LTspice CLI, MCP Server, E24 Sizing, Vision-to-SPICE & 16px .asc Schematic Compiler)

ZtotheZ Design Engineering: An MCP-backed closed-loop architecture for product design, interface verification, automated repair, and strict UI quality gates.

MCP server for DAW automation, rendering & verification: FL Studio/REAPER bridges, .rpp/.dawproject parsing, WAV metrics, closed-loop patch verification for training/inference

LoopSense is an open-source MCP server that closes the feedback loop for AI coding agents — giving them real-time visibility into CI results, deployments, test outcomes, and file system changes.

Official AI Skill & 462-Tool MCP Control Suite for AutoLab & Adobe Premiere Pro — 30 AutoLab Studio workflow tools, 432 native Premiere Pro tools (v1.24.1), closed-loop AI Vision framing, and zero-config local bridge.

MCP server that turns any model into a specialised web-product agent: investigates a target on its own, produces verifiable specs (SQL, OpenAPI, Gherkin, task graph), and closes the loop by comparing an implementation to its reference and naming every gap

MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.

Time Estimation MCP Server — 26 tools for PERT, COCOMO II, Monte Carlo, sprint forecasting, context-based estimation, token-to-time mapping, cost estimation, and schedule risk. Self-improving with calibrated intervals and an auto-closing feedback loop. Bu

LP-based home-energy planner. Optimises a Fox ESS battery + Daikin Altherma heat pump against Octopus Agile half-hourly tariffs via a PuLP MILP solver — with closed-loop replay, scenario robustness, and an MCP tool surface for OpenClaw / Claude.

Figma to pixel-perfect code, as an MCP server. Converts a frame to self-contained HTML deterministically, then closes the loop: renders your code in Chromium, pixel-diffs it against the Figma reference, and tells the agent exactly which elements are missi

Figma to pixel-perfect code, as an MCP server. Converts a frame to self-contained HTML deterministically, then closes the loop: renders your code in Chromium, pixel-diffs it against the Figma reference, and tells the agent exactly which elements are missi

A complete AI infrastructure for analytical modeling — not just a REST API wrapper. Provides any MCP-compatible AI assistant with access to **[RASON](https://www.solver.com/rason)** by [Frontline Systems](https://www.solver.com) for building, analyzing, and solving optimization, simulation, data science, and decision models. Includes a searchable library of nearly 200 example models, starter templates for every model type, structural model analysis, and guided workflows for solving and result interpretation. An AI assistant connected to this server can formulate a model from a business problem description, find relevant examples, explain model structure, submit it for solving, and present results in a goal-oriented way — closing the loop with suggested next steps and improvements. **Example interactions:** - "Find me a portfolio optimization example" - "Build a scheduling model for 8 employees with shift constraints, solve it, and show the schedule" - "This model is infeasible — run diagnostics and suggest which constraints to relax"

A deterministic control plane for agentic engineering workflows.

Enhanced MCP server for Godot 4.5-4.7: 33 tools / 199 actions, 3-layer architecture (headless + editor + game bridge), secure sandbox, recording & frame-verify, cross-version CI.

Claude agent that finds, fixes and verifies faults in a simulated 100-vehicle fleet through a Go MCP server. Code-enforced write and stale-data checks, a ground-truth eval harness, and a rule-based baseline: Claude 6/6 vs rules 0/6 when the fix is only in the manual.

Fail-closed human approval gates for AI agent actions, as an MCP server. Default-deny, TTL expiry, append-only audit log.

Local-first, human-approves-everything grocery replenishment as a ResonantOS add-on: runway analysis, fail-closed dietary checks, and a next-cart draft that structurally cannot check out. No accounts, no cloud, no telemetry — nothing leaves your machine.