"A search for information about Codex (e.g., ancient manuscripts, OpenAI Codex, or related topics)" matching MCP servers:

Public read-only registry for Codex-compatible animated companion packs. Search approved pets, fetch install instructions, generate badges and embed cards, and discover the pet request flow via Streamable HTTP MCP.

Lets one Codex instance send a task to another Codex instance on a different computer, enabling symmetric host-to-host collaboration including projectless tasks and local environment dependent work.

Enables querying the Codex General Standard for Food Additives to check whether an additive is permitted in a food category, at what maximum level or GMP, and under which conditions.

Enables retrieval of Codex Alimentarius maximum levels for food contaminants and toxins, filtered by contaminant or commodity, with source PDF page references.

MCP server that enables Claude Code to send code and plans for review by OpenAI Codex, returning structured feedback inline.

Enables Codex to control CodeBuddy Code through the Agent Client Protocol, including launching local or SSH sessions, sending prompts, handling permissions, and managing session lifecycle.

Production-oriented MCP gateway for managing Codex through a persistent codex app-server process, supporting threads, autonomous goals, approvals, and HTTP/stdio transports.

Provides AI assistants with natural language access to IMAS data structures and enables remote facility exploration through SSH.

GenflowAI for Codex helps creators, ecommerce teams, and marketing teams find reusable AI creative workflow templates, list their own saved workflows, inspect required inputs, upload creative assets, start template/workflow runs, and check async generation results without leaving Codex.

Provides access to Codex Alimentarius maximum residue limits, enabling searches for pesticide and veterinary drug limits by substance or food commodity, including adoption status and JECFA cross-references.

Streamable HTTP MCP bridge that allows ChatGPT to delegate code execution requests to a local official Codex MCP server with configurable safety policies.

MCP server that enables AI programming tools to search, read, and use a remote library of 180+ professional development skills, with incremental caching and network acceleration for fast access.

Bridges MCP clients such as Claude Code and Cursor to independent Codex app-server sessions, letting them start, poll, steer, review, compact, cancel, and answer prompts for asynchronous Codex tasks over local stdio or a remote authenticated WebSocket. Runs read-only by default, with workspace-write sandboxing only when a user explicitly enables it, and reports job status, model listing, and progress back to the client.

Enables local/remote execution infrastructure through the official Codex Runtime, providing shell, files, Git, sessions, browser, computer use, recoverable tasks, multi-host routing, dynamic MCP integration, and skill lifecycle management.

Enables remote execution of Codex CLI commands and provides an MCP tool for AI agents to escalate questions to humans via Telegram, allowing for human-in-the-loop workflows when away from the machine.

Routes questions to a council of AI models (local and cloud) and synthesizes their answers in five configurable modes: individual, categorized, deconflicted, pooled, and dialectic.

Provides read-only access to OpenClaw and Codex operational data like status, tasks, sessions, logs, and Git changes. Ensures safety via redaction, allowlists, and bounded outputs.

A lightweight bridge that wraps OpenAI's built-in tools (like web search and code interpreter) as Model Context Protocol servers, enabling their use with Claude and other MCP-compatible models.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Exposes the OpenAI Admin API as MCP tools, enabling management of organization members, projects, service accounts, API keys, rate limits, usage, costs, and audit logs through natural language.