mcp state sidecar for LangChain
io.github.askadvaith/mcp-state-sidecar
MCP State Sidecar: durable state persistence for multi-agent AI workflows
client:LangChain
transport:stdio
runtime:pypi
Install mcp state sidecar in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp-state-sidecar": {
"transport": "stdio",
"command": "uvx",
"args": ["mcp-state-sidecar"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs