AI RESEARCH
MCP-Cosmos: World Model-Augmented Agents for Complex Task Execution in MCP Environments
arXiv CS.AI
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ArXi:2605.09131v1 Announce Type: new The Model Context Protocol (MCP) has unified the interface between Large Language Models (LLMs) and external tools, yet a fundamental gap remains in how agents conceptualize the environments within which they operate. Current paradigms are bifurcated: Task-level planning often ignores execution-time dynamics, while reactive execution lacks long-horizon foresight. We present MCP-Cosmos, a framework that infuses generative World Models (WM) into the MCP ecosystem to enable predictive task automation.