"How to remotely control a Windows PC and install software" matching MCP servers:

Enables AI agents to safely inspect, edit, and test code within a bounded repository environment to solve software engineering tasks and verify fixes.

Enables Windows users to connect Antigravity CLI as an MCP subagent for coding tasks such as file reading, code execution, edits, and terminal commands, with model selection, conversation continuity, and streaming progress.

A lightweight MCP bridge that lets Claude Code delegate heavy tasks to the Antigravity CLI - saving context window and tokens for what matters.

An MCP server that turns a one-sentence idea into working, tested code using a pipeline of six AI agents, with optional deployment.

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 automated migration of Vue projects to React with intelligent analysis, task management, and learning from user modifications.

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 users to generate complete, production-ready software projects from simple ideas by coordinating 8 specialized AI agents through the Model Context Protocol.

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.

MCP server that lets you drive Claude Code sessions hands-free by voice from any MCP client, enabling remote models to send prompts, monitor progress, and get results read back.