This project provides MCP servers that connect AI clients to multiple LLM providers including Gemini, Codex, and Ollama. It also includes a Claude Code plugin for multi-provider code review, brainstorming, comparisons, and a pre-commit review hook.
From the registry: Bridge Claude with OpenAI Codex CLI for AI-to-AI collaboration, code review, and second opinions
Please install the `ask-codex` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install Node.js** — Node.js v20.0.0 or higher is required to run the MCP server via npx. (https://nodejs.org/)
- **Install and authenticate Codex CLI** — The Ask Codex MCP server depends on the OpenAI Codex CLI being installed and authenticated on your system. (https://github.com/openai/codex)
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","ask-codex-mcp"]
Note: This server is the Codex-specific MCP package from the Ask LLM project. The README does not specify any MCP config environment variables for this server; it relies on the separately installed/authenticated Codex CLI available on PATH.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.