Flowgraf for LangChain
in.flowgraf/flowgraf
Create and edit architecture diagrams from your AI agent; get an SVG and a live editable canvas.
client:LangChain
transport:streamable-http
runtime:npm
tools:3
Install Flowgraf in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"flowgraf": {
"transport": "streamable_http",
"url": "https://flowgraf.in/api/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs