A2CR for LangChain
io.github.a2cr/a2cr-mcp
Save AI-agent handoff checkpoints, WorkStash notes, and WorkThreads in a local A2CR workspace.
client:LangChain
transport:stdio
runtime:pypi
Install A2CR in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"a2cr-mcp": {
"transport": "stdio",
"command": "uvx",
"args": ["a2cr-mcp"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs