codex-control-plane-mcp MCP Server
aresyn/codex-control-plane-mcp
[](https://agentrank-ai.com/tool/aresyn--codex-control-plane-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Durable MCP control plane for long-running Codex Desktop tasks
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
aresyn/codex-control-plane-mcp is a Python tool licensed under Apache-2.0. Durable MCP control plane for long-running Codex Desktop tasks Topics: agent-tools, codex-desktop, mcp, model-context-protocol, openai-codex, openclaw, python, agentic-workflows, ai-agents, automation, codex, developer-tools, long-running-tasks, mcp-server, orchestration, hermes, hermes-agent.
Ranked #4987 out of 24846 indexed tools.
Ecosystem
Score Breakdown
125 stars → growing community
Last commit 2mo ago → moderate activity
12/20 issues closed → decent issue management
4 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# Codex Control Plane MCP English | [Русский](README.ru.md) <p align="center"> </p> Reliable Codex Desktop automation for long tasks. `codex-control-plane-mcp` turns Codex Desktop and `codex-app-server` into a durable worker that an MCP client can drive safely. Send a task, get an `operationId` or `workflowId` right away, poll until the work finishes, approve Plan Mode when needed, then read the final report. The server handles the awkward parts that thin wrappers usually leave to the caller: app-server startup, thread and turn creation, retry safety, duplicate prompt protection, Plan Mode, approvals, local history, diagnostics, and repair. OpenClaw and Hermes are first-class clients, but the server is useful for any local orchestrator that needs Codex Desktop to do long-running work without holding one MCP call open for hours. ## The short version ```text MCP client / orchestrator -> submit a task or start a Plan Mode workflow <- receive operationId or workflowId immediRead full README on GitHub →
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