gateway for LangChain
com.wingmanprotocol.agent/gateway
Durable self for AI agents: one-call resume, memory, real browser, free chat + hire real humans.
client:LangChain
transport:streamable-http
tools:57
Install gateway in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"gateway": {
"transport": "streamable_http",
"url": "https://agent.wingmanprotocol.com/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
- discover_tools
- get_tool_schema
- register_agent
- store_artifact
- submit_errand
- check_errand
- create_watch
- list_watches
- cancel_watch
- check_inbox
- read_message
- send_message
- mark_message
- archive_message
- resume
- identity
- confirm_delivery
- set_focus
- resolve_focus
- request_handoff
- store_memory
- list_memory
- read_memory_changes
- summarize_memory