No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by aresyn · MCP Server · ★ 122
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is codex-control-plane-mcp safe to install? View the security audit →
Codex Control Plane MCP English | Русский Reliable Codex Desktop automation for long tasks. turns Codex Desktop and into a durable worker that an MCP client can drive safely. Send a task, get an or 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 protectio
| Stars | 122 |
| Forks | 4 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69.2366996454525/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-09 |
| Created | 2026-06-17 |
| Platforms | codex, mcp, python |
| Est. Tokens | ~18k |
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codex-control-plane-mcp is Durable MCP control plane for long-running Codex Desktop tasks. It is categorized as a MCP Server with 122 GitHub stars.
codex-control-plane-mcp is primarily written in Python. It covers topics such as agent-tools, agentic-workflows, ai-agents.
You can find installation instructions and usage details in the codex-control-plane-mcp GitHub repository at github.com/aresyn/codex-control-plane-mcp. The project has 122 stars and 4 forks, indicating an active community.
codex-control-plane-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to codex-control-plane-mcp on Agent Skills Hub include DashClaw, sub-agents-mcp, Commonly-used-high-value-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: