Codex App Server MCP
Related Servers
Alternatives to Codex App Server MCP
No user-submitted related servers found.
Related Servers
- AlicenseBqualityBmaintenanceEnables any MCP host to delegate work to multiple coding-agent CLIs such as Codex, Claude Code, and Antigravity as subagents, preserving native sessions and supporting team-based supervision and agent-to-agent messaging.1713 npmApache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables a lead AI agent to spawn and coordinate manager agents, which can in turn run child agents across Codex/ChatGPT, Google Antigravity, Claude Code, and local OpenAI-compatible models. Provides messaging, waiting, transcripts, file exchange, and saved-conversation adoption so multi-agent workflows can be orchestrated from MCP hosts.MIT
- AlicenseNot gradedqualityDmaintenanceEnables MCP hosts to spawn, send input to, wait for, resume, and close provider-backed child agent sessions across Codex, Claude, and Grok adapters with configurable role presets, though it is experimental and not production-ready.MIT
- AlicenseNot gradedqualityBmaintenanceEnables external AI supervisors to oversee and steer native Codex through MCP, including thread and turn management, observation, interruption, approval responses, runtime status, and checkpointing.MIT
- AlicenseBqualityBmaintenanceEnables a host coding agent to launch and coordinate real subagent sessions in other agent CLIs and accounts, sharing existing MCP servers, skills, plugins, and instructions. Supports two-way messaging, automatic account failover, and mixed-CLI delegation while leaving credentials with the vendor CLIs.811Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables a coding agent to act as a master that spawns, dispatches tasks to, monitors, and approves heterogeneous worker agents over ACP, exposing the orchestration lifecycle as MCP tools.MIT
TDQS
Scored across 15 tools
The tools cluster into clear lifecycle, control, and observation groups. The closest pairs—agent_send/agent_steer and agent_status/agent_result—have explicit usage guidance that distinguishes them, so an agent can usually select correctly.
The agent_ prefix is consistent, but the suffix style is mixed: most tools use imperative verbs (start, send, wait), while status, events, and result are nouns, and request_resolve/goal_set reverse the expected verb-noun order. server_info also breaks the agent_ naming pattern, though reasonably for a server-level tool.
Fifteen tools is on the higher end but fits the complexity of orchestrating background agent workers. Each tool covers a distinct lifecycle, observation, or control function, and none feels redundant or unnecessary.
The tool set covers the full agent lifecycle: start, resume, fork, guide, interrupt, observe, wait, collect results, resolve requests, set goals, and archive. There are no obvious dead ends, and every state change has a corresponding way to inspect or move forward.