---
title: "MCP Connector | world-models.io"
canonical: "https://world-models.io/en/mcp/"
description: "Connect Codex, Claude Desktop, and compatible AI clients to the public world-models.io knowledge base with a read-only MCP connector."
author: "Bernard Grenat"
generated: "2026-10-30"
---

New: the Timeline is live. Track world model releases, papers, and benchmark updates in real time.

The Knowledge Hub for AI World Models

# Explore world-models.io with MCP

A read-only Model Context Protocol connector for searching world models, retrieving model details, browsing timeline events, and checking connector status.

robotics

model-based-rl

simulation

embodied-ai

## What is a world model?

A world model is an AI system that learns a predictive representation of how an environment changes over time. It can use observations, actions, or language to estimate future states and possible outcomes before an agent acts. World models support planning in model-based reinforcement learning, robotics, embodied AI, autonomous driving, and interactive simulation. This site catalogs these systems with model records, research papers, benchmark context, and source links. Start with the [world models database](https://world-models.io/en/world-models-database/), compare systems on the [leaderboard](https://world-models.io/en/leaderboard/), or read the [Performance Index methodology](https://world-models.io/en/methodology/performance-index/).