Career Craft.ing for LangChain
io.github.andreabarghigiani/career-crafting
Capture and organize private career evidence as career memories.
client:LangChain
transport:streamable-http
Install Career Craft.ing in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"career-crafting": {
"transport": "streamable_http",
"url": "https://mcp.careercraft.ing/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs