Story Mapper for LangChain
io.github.tomatap/storymapper
User story map + kanban with a live browser UI; AI agents and humans plan the same backlog via MCP.
client:LangChain
transport:stdio
runtime:npm
Install Story Mapper in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"storymapper": {
"transport": "stdio",
"command": "npx",
"args": ["-y", "storymapper"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs