Context Engine for LangChain
io.github.melonelish/context-engine
Compress logs, retrieval chunks, and code context into structured LLM-ready signal.
client:LangChain
transport:stdio
runtime:pypi
Install Context Engine in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"context-engine": {
"transport": "stdio",
"command": "uvx",
"args": ["melonelish-context-engine"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs