sekichi for LangChain
io.github.surp-renz/sekichi
Knowledge accumulation for AI coding agents. Records decisions, problems, and insights as context.
client:LangChain
transport:streamable-http
Install sekichi in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"sekichi": {
"transport": "streamable_http",
"url": "https://sekichi.fly.dev/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs