"QA review sentinel test marker" matching MCP servers:

Real-time agentic sentinel & breaking-change intelligence server for AI agents (Cursor, Hermes, Claude, LangChain).

A local MCP server that routes QA reviews through deterministic profiles and risk-based escalation while keeping source evidence and final decisions with the host.

MCP server exposing 570 config-driven dev tools across plan, develop, QA, feedback automation, and deploy stages, with meta-tools for searching and running them via natural language.

Enables MCP agents to submit content for human review via LoopQuest, returning verdicts asynchronously.

A lightweight MCP server that records and reuses prompt gaps — essential context missing from initial instructions — so your AI assistant learns from every session using a plain JSONL file tracked by Git.

Last-mile human work for AI agents. Phone calls, physical-world tasks, captcha on an already-authorized account, subjective QA, and long manual work, done by real virtual assistants.

Enables Claude Code to delegate software-engineering tasks to OpenCode agents running in the same workspace/worktree, with the model and provider chosen per agent. Exposes tools for task delegation, persistent sessions, diffs, and agent listing so an orchestrator can research, edit, review, and test code.

Provides a workspace-safe, read-only bridge between browser-based AI planning/review and local coding agents, enabling structured plan, execution summary, and review handoffs without granting shell, file write, or Git push access.

Orchestrates multiple AI agents (Product Manager, Software Architect, Engineer, QA, Reviewer) to collaboratively plan, design, implement, review, and improve software development projects via MCP tools.

MADE coordinates auditable human-agent procedures with work claims, review gates, approvals, and resumable sessions. Its local MCP server uses SQLite.

Enables multi-agent code review with cross-verification of findings against source code, catching hallucinations and improving agent accuracy over time.

Enables building, optimizing, reviewing, and running AI agents and skills, plus managing authorized work items, in Erstan's QA environment via OAuth-authenticated MCP.

Enables AI clients to programmatically build, validate, run, and test executable agent graphs as nodes and wires through local MCP tools, with SQLite storage and no cloud dependency.

Connects coding agents to a hosted agentic marketing system so they can run marketing workflows, share project files, research and context, and review or approve deliverables across organic search, content, social, outreach, paid ads, and product QA. Every call is scoped to the user's project membership and connected services such as GitHub, Search Console, Google Ads, Stripe, PostHog, and X.

MCP server that enables AI agents to run a deterministic orchestration loop with decomposition, subagent execution, and review feedback across multiple LLM backends.

An MCP bridge for the Pi coding agent running in WSL, enabling task execution, research, review, and session management through MCP.

A Model Context Protocol server that enables Claude to collaborate with Google's Gemini AI models, providing tools for question answering, code review, brainstorming, test generation, and explanations.

Coordinates specialized agents (Architecture, Quality, Cloud, Prompt) to plan, build, test, and deploy applications with self-healing capabilities, authentication, and analytics for autonomous software engineering workflows.

Enables Codex to delegate implementation and test work to DeepSeek Harness while grouping sessions by project directory and importing or exporting chats with controlled context.

Multi-AI collaboration MCP server enabling message passing, code review workflows, shared todo lists, and agent management with authentication and role-based access.

Enables agents to dynamically schedule thinking-token budgets, reflection passes, and temperature annealing while performing MCTS/process-reward verification, proof checking, and consensus voting through a standard-library STDIO MCP interface.

Hosted remote MCP server for issuing run receipts, summarizing agent changes, checking test evidence, flagging review risks, and exporting run logs for Antigravity agents.

Enables AI agents to file review jobs that real human reviewers open, return pinned comments and verdicts on, and approve, so agents can iterate on built sites, videos, and other artifacts based on genuine human feedback.

Enables routing AI subscription tasks from MCP-compatible editors to configured worker adapters, with state tracking and result retrieval for host review.

Exposes DeepSeek as a callable MCP tool, enabling ChatGPT connectors and other MCP clients to invoke it for cross-vendor independent review tasks.

Enables Claude Code and OpenAI Codex to exchange messages directly within their sessions, including optional cross-review of plans, without copying between terminals.

Enables isolated reasoning, review, and optional web research by delegating tasks to a read-only remote MCP server, with support for single delegation and parallel multi-worker execution with synthesis.

An MCP server for domain-agnostic task orchestration, turning objectives into executed workflows with built-in validation, security, and multi-agent patterns.

Enables real-time sliding-window token velocity anomaly detection and adaptive rate-limiting through a native STDIO MCP server built entirely on the Python standard library. Exposes deterministic algorithmic checks that report anomalies and throttle behavior as JSON tool results for MCP clients such as Claude Desktop, Cursor, and Antigravity.

Bridges Cursor IDE Agent with ChatGPT Web for external reasoning, research, and review.