Handover for LangChain
sh.handover/handover
Shared, versioned context that humans and AI agents can publish, review, annotate, and continue.
client:LangChain
transport:streamable-http
tools:17
Install Handover in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"handover": {
"transport": "streamable_http",
"url": "https://handover.sh/api/mcp?profile=core",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- handover.whoami
- handover.search
- handover.get
- handover.read_artifact
- handover.thread
- handover.annotations
- handover.create
- handover.continue
- handover.comment
- handover.annotate
- handover.update_comment
- handover.assign
- handover.publish
- handover.publication
- handover.pull
- handover.okf.export
- handover.okf.import