Model Manager for LangChain
io.github.setheerwagen/mcp-modelmanager
Manage your local model machine over MCP: state, model pull/remove, service switch, LoRA training
client:LangChain
transport:stdio
runtime:pypi
Install Model Manager in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp-modelmanager": {
"transport": "stdio",
"command": "uvx",
"args": ["mcp-modelmanager"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs