Engraphy for LangChain
io.github.devon-clarkk/engraphy
Self-hosted MCP memory server: a typed knowledge graph on Postgres 16 and pgvector.
client:LangChain
transport:stdio
runtime:oci
Install Engraphy in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"engraphy": {
"transport": "stdio",
"command": "docker",
"args": ["run", "-i", "--rm", "ghcr.io/devon-clarkk/engraphy:0.3.0"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs