"Browser automation and control for Codex CLI" matching MCP servers:

Enables MCP clients to run complete browser workflows through a single run_workflow tool, with anti-detection backends, intelligent element location, automatic retries, and session persistence.

Enables programmatic headless browser automation for creating sessions, interacting with pages, browsing, and extracting rendered content, with built-in anti-bot and protected-page support.

Enables local/remote execution infrastructure through the official Codex Runtime, providing shell, files, Git, sessions, browser, computer use, recoverable tasks, multi-host routing, dynamic MCP integration, and skill lifecycle management.

Reliable Codex Desktop automation for long tasks with durable async operations, Plan Mode workflows, and retry-safe task submission.

Enables MCP clients to submit long-running Codex Desktop tasks as durable asynchronous operations, poll their status, handle approvals and Plan Mode workflows, and retrieve final reports without holding calls open. It also provides retry-safe submission, restart recovery, queue and worker status, diagnostics, and repair for local Codex automation.

Enables MCP clients to drive Codex Desktop and codex-app-server as a durable asynchronous worker for long-running tasks, returning operation or workflow IDs for polling, handling approvals and Plan Mode, and exposing diagnostics and final reports.

Use Codex as a subagent inside Claude Code: async dispatch into a long-lived codex app-server, results pushed back into the Claude session automatically, steer/interrupt mid-task, and Codex's built-in code review.

Enables MCP clients to run non-interactive Codex CLI sessions via codex and codex-reply tools, including resuming conversations by thread ID and passing codex exec flags.

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 MCP clients and local orchestrators to drive Codex Desktop and codex-app-server as a durable async worker: submit a task or Plan Mode workflow, immediately receive an operationId or workflowId, then poll status, answer approvals, and read final reports without holding long-lived calls open. It also provides retry-safe submission, duplicate-turn protection, restart recovery, concurrency/worker queue visibility, and health, diagnostics, and repair tools backed by local SQLite state.

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

Portable governance control-promotion CLI and MCP server.

Enables Codex to interact with and control FreeCAD 1.1.x locally through typed MCP tools, including health checks and an optional Python execution escape hatch for direct document manipulation.

Enables Claude Code to leverage OpenAI models for expert code review, deep architecture analysis, and security audits, with automatic markdown report generation.

Deterministic, LLM-first control of Word documents (.docx). An agent reads the outline, finds text by phrase, and applies edits as tracked changes and comments in one atomic batch, with a safety layer that refuses edits based on a stale read and rolls back failed batches. It works on .docx files directly, and can also drive an open document in Microsoft Word on Windows or in LibreOffice Writer.

Enables AI coding assistants to interact with OpenAI's Codex AI through the official CLI. Provides direct integration for code analysis, file review, and batch processing with zero API costs.

An MCP server for auditing automation health, finding failures, stale logs, and non-functional endpoints that report success while quietly failing.

Enables AI agents to operate the Unreal Editor via MCP: reading, creating, and editing blueprints at the node level, authoring materials and UMG widgets, auditing projects, and verifying runtime behavior in PIE with read-back checks.

Turns Canvas LMS into a scriptable pipeline and exposes it to AI assistants via MCP for querying courses, grades, assignments, and syncing files using natural language.