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Run Codex models through a persistent MCP server without sharing ChatGPT credentials.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "dsh-codex-mcp" yet — see the docs or source repo.
Use dsh-codex-mcp to call Codex models and refactor this Python code while preserving behavior.
Refactored code with key change notes.
Use dsh-codex-mcp to help me add unit tests for this function, covering normal and edge cases.
Executable test case code.
A developer wants DeepSeek Harness to call Codex models for coding help, refactoring, or code analysis. This tool exposes the official Codex CLI as a persistent MCP server.
A team wants to avoid storing or transmitting ChatGPT credentials to third parties when using an orchestration layer. This tool is designed to keep that exposure out of the third party.
It launches the official Codex CLI as a persistent MCP server so DeepSeek Harness can invoke Codex models. Its focus is avoiding storing or transmitting ChatGPT credentials to third parties.
No; the description explicitly says it does not store or transmit ChatGPT credentials to third parties. For exact setup details, see the source repository.
Delegate exploration and implementation tasks to DeepSeek with subagents and persistence.
Get technical advice, code reviews, and explanations via Codex CLI.
Use Codex in Claude Code for execution, debugging, and web search.
Connect IDEs or AI assistants to Codex CLI for safe automation and code analysis.
Connect OpenAI Codex CLI to MCP clients for headless coding sessions.
Enable Claude Code to perform coding tasks through the OpenAI Codex CLI.