"A server for finding information about Codex" matching MCP servers:

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

Enables Claude Code to leverage OpenAI models for expert code review, deep architecture analysis, and security audits, with automatic markdown report generation.

Provides current weather information for any location and generates AI-powered responses using Google Gemini through FastMCP.

An MCP server that wraps the OpenAI Codex SDK to deploy multiple specialized AI agents with individual configurations for models, sandboxing, and behavior. It enables users to manage dedicated tools for tasks like code review and test writing through a customizable agent factory.

Adds a second-opinion advisor to OpenAI Codex CLI, enabling consultation with ChatGPT subscription, OpenAI API, Claude, Gemini, or OpenAI-compatible models during coding sessions.

Provides read-only Codex consultation tools over MCP, enabling fresh threads, continuation, and project reviews via local stdio.

MCP server for integrating xAI's Grok model into OpenAI Codex Desktop/GUI, enabling direct Grok calls via chat completions or responses with OAuth or API key authentication.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

MCP server that enables calling Anthropic Claude models from OpenAI Codex Desktop/GUI, supporting API key or OAuth authentication and providing chat, model listing, and diagnostic tools.

Enables selective context handoff for Codex by curating past conversation blocks based on a next topic. It preserves essential blocks, removes unnecessary ones, and keeps sensitive data local without modifying the active chat history.

Enables Claude to hand off implementation tasks to OpenAI Codex models running through the Codex CLI, with tools for listing models, delegating work synchronously or in the background, collecting results, and continuing past sessions, while Claude stays the orchestrator that reviews diffs and runs tests.

Enables AI coding agents to request a second opinion from a different frontier model via a single tool call, with PII scrubbed before transit, live web search, and support for Claude, ChatGPT, Cursor, and Gemini.

Enables Codex to submit, poll, and retrieve bounded text handoffs for durable image-generation and image-inspection jobs while keeping provider-returned media bytes outside the MCP boundary.

Enables AI agents to request an independent second opinion from a different frontier model, with PII scrubbing before transit, live web search grounding, caching, and multi-provider failover.

Enables Claude Code to call OpenAI Codex for read-only design, deep reasoning, and code review tasks.

Enables generating images directly from Claude Code using the ChatGPT subscription's built-in Codex CLI and gpt-image-2, with no API key or separate credits.

Enables context-bounded image generation and inspection through durable local jobs, returning only bounded text handoffs, hashes, relative references, and Job IDs while keeping provider media bytes off the public MCP boundary.

Enables persisted image generation and inspection jobs through bounded MCP tools, returning only compact text handoffs, hashes, relative references, and Job IDs while keeping provider-returned media outside public results.

Enables Codex to run image generation and inspection as durable, restart-reconcilable local jobs that keep provider-returned media behind the tool boundary and hand back only bounded text, hashes, relative references, and Job IDs. It also supports idempotent submission, job history, and an offline deterministic mock provider for validating transport and persistence behavior without spending API credits.

Enables Claude Code agents and subagents to get an independent read-only review of their changes from OpenAI Codex and to continue that same Codex conversation later for re-checks. Runs each request in an isolated CODEX_HOME so those threads stay separate from the Codex desktop app, supporting parallel callers and per-call model, effort, sandbox, and timeout settings.