claude mcp add codex-control-plane-mcp -- npx -y codex-control-plane-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
125 ★ · aresyn/codex-control-plane-mcp · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 125 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
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We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository aresyn/codex-control-plane-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
English | Русский 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 Use the same client_request_id when a caller retries after a transport timeout. The retry returns the existing operation instead of creating another turn. Attach screenshots or other image evidence: Image inputs are accepted only for operation types that start a new turn: start_chat, send_message, execute_plan, and fork_thread with an initial message. MCP sends the path or URL to codex-app-server, but operation status and diagnostics return only safe metadata such as type, detail, size, extension, and hashes. Binary image content, raw URLs, and full local image paths are not stored in public status payloads. Steer an active turn: Use steer_turn only while the target turn is active. For a completed thread, use send_message instead. Fork a thread: Start work in the fork right away: Use client_request_id for retry-safe fork requests. Without it, each call is treated as a new fork request. threadId in operation status is the forked thread; the source thread is reported in forkState.sourceThreadId. Manage thread lifecycle: Archive and unarchive are audit actions around app-server thread/archive and thread/unarchive. They refuse to run while the thread has an active turn or a pending interaction. Compaction uses its own lightweight actionId because thread/compact/start is asynchronous. Public thread/delete is intentionally not exposed. Ask for a structured final report: output_schema is passed to app-server turn/start and is tracked by a schema hash in status output. Object schemas must use the strict form required by Codex: set additionalProperties to false. MCP stores the final assistant message as readable text, then parses JSON object output into finalReport.structured when Codex returns valid JSON. Plain text still works and stays available in finalReport.text. MCP does not extract hidden chain-of-thought and does not store raw tool payloads or command output in final reports. Drive Plan Mode: Plan Mode has a runtime floor. The public default write policy is still read-only and on-request, but Plan Mode needs a writable workspace on Windows. If the caller or server default resolves to read-only, MCP sends workspace-write to codex-app-server and returns requestedSandbox, effectiveSandbox, and runtimePolicyAdjusted in workflow and operation status. Mirror a workflow goal into Codex Desktop when the client has one: MCP writes a thread goal only when the client passes goal. Managed goals use clear after completion by default. Use set_complete or leave when the goal should remain visible after the workflow ends. Normal workflow polling is passive; use refresh_live_goal=true only when you want MCP to call live app-server goal methods. Run a Codex code review: Or let MCP create a service thread for a local checkout: Review workflows do not write files by themselves. They run inside the selected Codex sandbox and approval policy. Use client_request_id when a caller may retry the start request after a transport timeout. Handle approvals and questions: Start diagnostics with: Repair actions default to dry_run=true. Status and diagnostic tools also return agentGuidance and agentGuidanceText when MCP sees a blocker, failed state, stale run, pending interaction, duplicate prompt, auth problem, rate limit, or unsafe recovery loop. Agents should follow agentGuidance.instructions before deciding to