World Model MCP for LangChain
io.github.putervision/world-model-mcp
Persistent 3D/2D spatial world model for AI agents with entity tracking and simulation.
client:LangChain
transport:stdio
runtime:npm
Install World Model MCP in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"world-model-mcp": {
"transport": "stdio",
"command": "npx",
"args": ["-y", "@putervision/world-model-mcp"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs