aresyn/codex-control-plane-mcp

Overview

A durable control plane built on the Model Context Protocol (MCP) for managing long-running tasks in Codex Desktop. It provides persistent task orchestration, queuing, and state management for extended AI operations within the Codex Desktop environment.

Best for

Best for
Developers using Codex Desktop who need reliable, persistent management of lengthy AI coding tasks

Use cases

• Orchestrating multi-step code analysis or generation workflows that exceed typical request timeouts
• Running batch processing of code files or repositories through Codex Desktop's AI capabilities
• Persisting and resuming interrupted AI tasks across sessions without losing context

How to use

Install

uvx codex-control-plane-mcp

Tools exposed

• codex_submit_task
• codex_get_operation_status
• codex_start_plan_workflow
• codex_start_review_workflow
• codex_get_workflow_status
• codex_approve_plan
• codex_list_pending_interactions
• codex_answer_pending_interaction
• codex_interrupt_turn
• codex_archive_thread
• codex_unarchive_thread
• codex_start_thread_compaction
• codex_get_thread_compaction_status
• codex_get_runtime_capabilities
• codex_health_summary
• codex_collect_diagnostics
• codex_repair_issue
• codex_start_chat
• codex_send_message
• codex_execute_plan

Tested with

ChatGPT

Notes

A durable control plane built on the Model Context Protocol (MCP) for managing long-running tasks in Codex Desktop. It provides persistent task orchestration, queuing, and state management for extended AI operations within the Codex Desktop environment.

199 stars on GitHub. Last updated 2026-06-18. Licensed Apache-2.0.

Use cases

• Orchestrating multi-step code analysis or generation workflows that exceed typical request timeouts
• Running batch processing of code files or repositories through Codex Desktop’s AI capabilities
• Persisting and resuming interrupted AI tasks across sessions without losing context

Pros

• Open source Python implementation with 199 stars, community-vetted
• Leverages standard MCP protocol for interoperability with other MCP tools
• Provides durability for long-running tasks, reducing risk of lost work

Cons

• Tailored specifically to Codex Desktop, limiting use outside that ecosystem
• Modest star count suggests a niche tool with smaller community support
• Dependence on Python environment may require additional setup for some workflows

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.