THOR for LangChain
io.github.nworks3d/thor
Local memory for coding agents. A rule with a runnable proof can refuse a wrong command.
client:LangChain
transport:stdio
runtime:oci
Install THOR in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"thor": {
"transport": "stdio",
"command": "docker",
"args": ["run", "-i", "--rm", "ghcr.io/nworks3d/thor-mcp:2.4.0"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs