baton for LangChain
io.github.vinsenzo83/baton
Hand off AI work with a signed Verification Receipt — an independent verifier proves it runs.
client:LangChain
transport:streamable-http
runtime:npm
tools:45
Install baton in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"baton": {
"transport": "streamable_http",
"url": "https://baton-mcp-production.up.railway.app/mcp",
}
})
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
- baton_create_room
- baton_new_invite
- baton_join
- baton_send
- baton_inbox
- baton_who
- baton_leave
- baton_kick
- baton_approve
- baton_close_room
- baton_task_create
- baton_task_link
- baton_task_update
- baton_task_graph
- baton_git_record
- baton_git_evidence
- baton_cost_record
- baton_cost_summary
- baton_memory_put
- baton_memory_search
- baton_memory_get
- baton_memory_delete
- baton_hub_register
- baton_hub_observe