"Netflix Media Control Protocol (MCP) or Management Platform" matching MCP servers:

Enables MCP clients to drive Codex Desktop and codex-app-server through durable asynchronous operations for long-running tasks, with polling, approvals, Plan Mode workflows, retry-safe submission, and structured final reports.

Enables MCP clients to submit long-running Codex Desktop tasks asynchronously, poll status, handle approvals and Plan Mode, and retrieve durable reports, diagnostics, and repair tools.

Enables users to submit long-running Codex Desktop tasks and workflows asynchronously, poll their status, handle approvals or plans, recover from restarts, and retrieve final reports and diagnostics.

Enables MCP clients and local orchestrators to run long-running Codex Desktop tasks as durable asynchronous operations, poll status, handle approvals and Plan Mode workflows, and retrieve final reports, diagnostics, and thread/turn details.

Enables MCP clients to drive Codex Desktop as a durable asynchronous worker for long-running tasks, including submitting operations or workflows, polling status, managing approvals and Plan Mode, and reading final reports. It also provides retry safety, duplicate-prompt protection, restart recovery, and diagnostics for reliable local automation.

Enables MCP clients to drive long-running Codex Desktop work through durable asynchronous operations, polling, approvals, Plan Mode workflows, recovery, diagnostics, and local state without holding MCP calls open.

Turns Codex Desktop and codex-app-server into a durable asynchronous worker that MCP clients can submit long-running tasks and Plan Mode workflows to, receiving an operationId or workflowId immediately instead of holding a call open for hours. Enables retry-safe polling for status, approvals, questions, interrupts, code review, diagnostics, and final reports, with persisted SQLite state that survives client retries and server restarts.

Enables programmatic execution of coding tasks and autonomous file operations using Claude AI. It allows agents to search codebases, run shell commands, and track file changes through the Model Context Protocol.

Enables MCP clients to drive Codex Desktop as a durable async worker, submitting long-running tasks and Plan Mode workflows that return an operationId or workflowId immediately for polling, approval handling, and final report retrieval. Adds retry-safe submission, duplicate prompt protection, restart recovery, diagnostics, and a central worker mode for safe local orchestration.

Enables MCP clients and local orchestrators to drive Codex Desktop and codex-app-server as a durable async worker: submit tasks or Plan Mode workflows, immediately receive an operation or workflow ID, and poll for status, approvals, and final reports instead of holding long blocking calls. It adds retry-safe request IDs, duplicate-turn protection, SQLite-persisted state with leases and heartbeats for restart recovery, plus health checks, diagnostics, and repair tools.

Enables MCP clients to drive Codex Desktop and codex-app-server as a durable worker for long-running tasks by submitting work and receiving an operationId or workflowId immediately, then polling status, handling Plan Mode approvals and pending questions, and reading final reports without holding multi-hour MCP calls open.

Enables MCP clients to submit and monitor long-running desktop coding tasks through durable asynchronous operations, with plan approval, retry safety, diagnostics, and final report retrieval.

Enables AI coding agents to save task context as a validated JSON document and later restore it as a concise briefing with the objective, status, relevant files and focus lines, decisions, and prioritized next steps.

Enables AI assistants and other MCP clients to launch and steer Cursor Cloud Agents on repositories or as repo-less research tasks, including model selection, mid-run follow-ups, cancellation, result retrieval, and run listing. Also exposes authentication checks and per-agent or per-run token usage and cost reporting.

Orchestrates multiple Claude Code agents across iTerm2 sessions with process-level isolation, enabling collaborative AI development workflows on multiple codebases with task-based inter-agent communication and persistent state management.

MCP server that enables AI agents to analyze legacy code, plan and execute software migrations, generate modern source code, and validate production-ready artifacts through a multi-agent pipeline.

Enables ChatGPT to read local project facts and manage Codex Desktop tasks through the official Secure MCP Tunnel.

Bridges Warp's Oz coding agent to any IDE or MCP client (Claude Code, Cursor, Codex), plus native @oz in VS Code Copilot Chat. Cross-platform (macOS/Linux/Windows), independent project using only Warp's documented public oz CLI + MCP interfaces.

Enables ChatGPT or other MCP clients to control native Codex sessions on Windows, providing tools for thread management, turns, observation, steering, and responding to approvals.

Enables remote control of AI coding assistants (Claude Code/Codex) via Telegram, allowing you to manage long-running tasks, send commands, and receive notifications from anywhere. Supports unattended mode with smart polling for up to 7 days and multi-session management.

Enables coding agents to connect to Debug Adapter Protocol debuggers over MCP, allowing them to launch or attach to native targets, control execution, set breakpoints and watchpoints, inspect stacks, variables, memory, and exceptions, and capture agent-friendly debugger snapshots.

Enables assistants to monitor and control AI coding agents via the herdr CLI, listing agents and reading their output, then optionally starting agents, sending prompts or keystrokes, and managing panes and tabs. Read-only tools are always available while write tools require explicit opt-in, and remote machines can be targeted.

An MCP (Model Context Protocol) server that enables integration with the Simplifier Low Code Platform. This server provides tools and capabilities for creating and managing Simplifier Connectors and BusinessObjects through the platform's REST API.

Runs as an MCP server providing file system operations, shell execution, and system information tools, allowing Claude or any MCP client to edit files and control the machine.

This MCP server enables remote control and management of Claude Code agents, allowing you to execute missions, configure agent personalities, and integrate with other MCP tools.

Enables Codex to control CodeBuddy Code through the Agent Client Protocol, including launching local or SSH sessions, sending prompts, handling permissions, and managing session lifecycle.

Unified MCP interface to monitor and control coding agents across OpenCode, Claude Code, and Codex CLI.

A cross-platform MCP server implementing the Ralph Loop iterative development technique where a worker model does the work and a reviewer model provides cross-model review until approval.

Integrates with the skills.sh ecosystem to allow AI coding agents to discover, install, and manage reusable instruction sets. It enables autonomous agents to extend their capabilities with structured skill discovery and full lifecycle management through the Model Context Protocol.

An MCP server for the OpenAI Codex CLI that provides coding assistance with multi-turn session management and reasoning depth control. It enables users to perform code analysis, generation, and refactoring through Claude with native resume support for conversational context.